Knowledge (XXG)

Occupational segregation

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then, posit that a difference in educational levels of men and women is responsible for persistent occupational segregation. Because of their alleged fewer educational merits, their lower salary is justified. Contrary to this theory, however, over past 40 years, women's educational attainment has outpaced that of men. One area of education that might play a substantial role in occupational segregation, however, is the dearth of women in science and mathematics. STEM fields tend to be pipelines to higher paying jobs. Therefore, the lack of women in higher paying jobs might be partially because they do not pursue science and mathematics in school. This can be seen in areas such as finance, which is very mathematics heavy and is also a very popular field for those who eventually rise to high status positions in the private sector. This choice, like others, is often a personal preference or made because of the cultural idea that women are not as good as men at mathematics.
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women are given but their salary as well. Data from Equitable Growth states the wage gap between black women and white men is "often interpreted by economists as the closest approximation of real discrimination". Of the observed variables, however, racial and gender differences in industry and occupation—collectively referred to as workplace segregation—explain by far the largest portion of the gap (28 percent, or 10 cents for every dollar earned by a white man)". One of the main reasons occupational segregation is an issue for black women in the first place is the racial and ethnic discrepancy in access to high-quality educational and financial resources, which hurts children’s educational outcomes, and college access results in long-term labor market opportunities instead of higher-paying jobs.
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programs like diversity training and diversity evaluations, which are intended to stop managerial stereotypes through education. When workplaces incorporated programs designed to help women and minorities increase their reach, like networking or mentoring, their diversity increased moderately. Programs that worked considerably were those that changed the structure of the workplace and held them responsible for change, such as affirmative action plans, diversity committees, and diversity staff positions. These programs acknowledge that segregation is systemic and more than just individual bias. White women benefit the most from affirmative action, and black women benefit more than black men. Implementation of these programs allow for the other programs to work better too.
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of the wage gap. In addition, women's wages are negatively affected by the percentage of females in a job, but men's wages are essentially unaffected. Wages decreases occur for all workers, regardless of race. The crowding hypothesis postulates that occupational segregation lowers all women's earnings as a result of women's exclusion from primarily male occupations and segregation into a number of predominantly female-dominated occupations. Given that feminine skills are traditionally rewarded less both in salary and prestige, the crowding of women into certain occupations makes these occupations valued less in both pay and prestige.
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Networks can lead to unequal access to job opportunities and for minorities, result in reduced competition for higher paid job markets and increased competition in lower ones. This results in a decrease in wage price for the labor markets. Black and Latino men who use networks mainly consisting of their own race have a lower rate of employment, while white men will have higher rates of employment. Additionally, for those who immigrate illegally, it is easier to get certain low paying jobs. Because they often network within their community, these jobs are further concentrated with certain racial/ethnic groups.
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responsibilities. The last factor, in particular, leads women to prioritize the geographical proximity of paid employment when searching for a job. In addition, most people have been found to find their jobs through informal contacts. The gendered nature of social life leads women to have networks with smaller geographical reach than men. Thus, the location of women in female-dominated occupations which are lower-status and lower pay is the result of "severe day-to-day time constraints" rather than a conscious and long-term choice made that would be able to maximize pay and prestige.
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characteristics depended mostly on age, education, race, and other characteristics rather than on gender. In addition, other research has shown that men and women likely hold endogenous job preferences, meaning that their preferences are due to the jobs they hold and those they have held in the past rather than related inherently to gender. After taking into consideration men and women's jobs, there is no difference in their job preferences. Men and women engaged in similar types of work have similar levels of commitment to work and display other similar preferences.
2119:(1929 - 1933) caused many African Americans to be fired first compared to others in their companies, which caused them to turn towards self employment, with jobs such as housework or opening up their own businesses as dressmakers or shop owners. In the 1940s, the types of jobs available began to shift from industrial to service, while the agricultural portion switched to machines that did not require many workers. This shift both created new jobs and pushed other jobs out. Racial segregation began to decline after the creation of Title VII of the 2285:
their recruiting and advertising to people who are not women or racial minorities. At the same time, employers systematically undervalue the work of women and racial/ethnic minorities in a concept known as valuative discrimination. For many jobs, in between the point of contact and the completion of the application, one of the roles of human resources is to direct applicants to certain jobs. Human resource steering can occur when this role is used to turn women and racial minorities to jobs with lower salaries.
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who cannot speak English. Immigrants may experience over or under education. Those who do not have high proficiency in English are limited to low paying jobs that also have low expectations for skills not pertaining to language. Since minority workers tend to be younger (the median ages of Hispanic, Native American, black, and Asian workers being 35, 38, 39 and 39 respectively, compared to the median age of white people, which is 42), they have less experience, which makes them less competitive candidates.
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Claims of discrimination are sent to the EEOC to be resolved. The EEOC also seeks out places where systemic discrimination occurs. It can have both direct and indirect effects in resolving discrimination: it can help the victim win cases against discrimination of their company, while simultaneously influencing companies around them to change their policies to avoid possible future transgressions. It also sets precedents in court under Title VII.
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housework" movement in the late 1970s showcased the importance of gender inequality in the workplace. Socialist feminists critiqued the exploitation of women's household and reproductive labor, since it was not viewed as a commodity that deserved payment in the market economy. Women often experience working a "double day" or "second shift" when they go to a wage-earning job and then come home to take care of children and the home.
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the person’s degree of education, the value they place on different occupations, their emotions in response to the world around them, and the environmental restrictions they have. Adults choose jobs that have a work environment that is familiar to them and that they believe has value. Although individuals have different preferences for the jobs they want, society and job inequality can influence these choices.
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races/ethnicities with the same educational level, there are still differences, suggesting that this is not the only reason why a wage gap exists. Black men who graduate from high school or drop out have an unemployment rate double the unemployment rate of their white peers. People who belong to a racial/ethnic minority will have a disadvantage in getting a job, regardless of their educational background.
2206:"School Teachers," "University and Vocational Education Teachers," and "Miscellaneous Education Professionals." These categories are then further broken down into subcategories. While these categories aptly describe the divisions within education, they are not comparable to the hierarchical categories within other occupations, and thus make comparisons of levels of vertical segregation quite difficult. 2237:
Women are treated to more segregation than men; however, the comparison of different sexes shows that a higher racial/ethnic disparity exists within men in comparison to their female counterparts. Within the workplace, the distribution of Hispanic, Asian, African American, and Native American women is very similar. Nonetheless, within low paid jobs, Hispanic women represent the largest demographic.
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segregated within themselves because of the differing jobs, but this is difficult to detect in terms of occupational data. Occupational segregation compares different groups and their occupations within the context of the entire labor force. The value or prestige of the jobs are typically not factored into the measurements.
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be concentrated in both low pay jobs, such as sewing machine operators or tailors, and high pay jobs like medical or computer engineering jobs. This range may be due to the fact that within the “Asian” category, data for different ethnicities differ, such as between Southeast Asians and East Asians. When the factors of
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Some scholars, such as Haveman and Beresford, therefore argue that any policies aimed at reducing occupational inequality must focus on culture changes. According to Haveman and Beresford, people in the United States have historically tended to reject policies that only support one group (unless that
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It is important to note that Duncan's D uses percentages. In a given occupation, the number of a certain demographic in that occupation should be divided by the total number of the same demographic in all of the occupations. For example: You may have 10 men who are nurses out of 600 total people.
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Women in female-dominated jobs pay two penalties: the average wage of their jobs is lower than that in comparable male-dominated jobs, and they earn less relative to men in the same jobs. Since 1980, occupational segregation is the single largest factor of the gender pay gap, accounting for over half
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Almost 90% of jobs in the United States either overrepresent or underrepresent black males, which demonstrates segregation. Overrepresentation occurs in lower paid jobs, while underrepresentation occurred in higher paid jobs. Jobs with overrepresentation of black and Latino males tend to decrease pay
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describes men's domination of the highest status jobs in both traditionally male and traditionally female occupations. Colloquially, the existence of vertical segregation is referred to as allowing men to ride in a "glass escalator" through which women must watch as men surpass them on the way to the
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Occupational segregation levels differ on a basis of perfect segregation and integration. Perfect segregation occurs where any given occupation employs only one group. Perfect integration, on the other hand, occurs where each group holds the same proportion of positions in an occupation as it holds
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Gender egalitarian cultural principles, or changes in traditional gender norms, are one possible solution to occupational segregation in that they reduce discrimination, affect women's self-evaluations, and support structural changes. Horizontal segregation, however, is more resistant to change from
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Wages increase as the EEOC charges against an industry increase. In the past few decades, wage increases as a response to filed court cases are larger for black women in comparison to white women. However, this could be due to more black women filing for discrimination. Wilhelm shows that filing for
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Human capital explanations are those that argue that an individual's and a group's occupational and economic success can be at least partially attributed to accumulated abilities developed through formal and informal education and experiences. Human capital explanations for occupational segregation,
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Data has shown that black women at all education levels are placed into jobs with lower wages when their white female peers of similar skill and education levels are given higher paid jobs due solely to their racial advantage. Occupational segregation has not only affected what jobs African American
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In addition, the more occupational integration that occurs, the more women are in the positions to make powerful decisions affecting occupational segregation. If the overall market becomes less segregated, those who make personnel decisions in traditionally female-dominated occupations will have to
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Because it compares ratios of both groups, a score of 0 means that there is equal representation between the two groups, while a score of 1 demonstrates a high concentration of one group and unequal distribution between both groups. The number derived from this equation is equal to the proportional
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Some women self-select out of higher status positions, choosing instead to have more time to spend at home and with their families. According to Sarah Damaske, this choice is often made because high status positions do not allow time for the heavy domestic workload that many women expect to take on
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According to Eli Ginzberg, self-selection starts at a young age, and has many different stages. As children begin thinking about jobs, they are open to all possibilities and are not limited by their gender, race, or social class. At the end of young adulthood, the final occupation choice depends on
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Different minorities have different factors influencing their segregation. In the United States, Alonso-Villar et al. concluded that Asians are the most segregated group based on data of the overall distribution of employment, while Hispanics are the most segregated in local markets. Asians tend to
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Vertical segregation can be somewhat difficult to measure across occupations because it refers to hierarchies within individual occupations. For example, the category of Education Professionals (a category in the Australian Standard Classification of Occupations, Second Edition) is broken down into
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Over the last century in the United States, there has been a surprising stability of segregation-index scores, which measure the level of occupational segregation of the labor market. There were declines in occupational segregation in the 1970s and 1980s, as technologies that made the care work of
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and ethnicity segregation, and sexual orientation segregation. These demographic characteristics often intersect. While a job refers to an actual position in a firm or industry, an occupation represents a group of similar jobs that require similar skill requirements and duties. Many occupations are
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Minorities are subjected to a language barrier. For some immigrants, despite having high levels of experience in the country they come from, they are unable to obtain an equally ranked job due to unfamiliarity with the language. Many immigrants who come to the United States are Asians or Hispanics
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of race/ethnicity and gender in occupational segregation means that the two factors build on one another in a complex way to create their own unique sets of issues. Between genders, there are preconceived notions; when gender is further split up by race and ethnicity, stereotypes differ even more.
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Crowding is found to be alleviated through macro-changes in occupational segregation. Teaching, for example, at least in recent generations, is traditionally a female-dominated profession. However, when positions open up for women in business and other high-earning occupations, school boards must
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Employers can influence the pay disparity for women and minorities in three ways. They may do this through sorting women and racial minorities into lower paying jobs while their counterparts receive higher paying jobs, selectively not choosing women and racial minorities for promotions, and cater
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after the 1990s is extensive but data for racial segregation is less comprehensive. Additionally, although it is easy to see national trends, it does not always reflect the trends within different sectors. Certain regions of the United States are more prone to occupational segregation. Due to the
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The abilities women and minorities can offer are wasted because they are allocated to inappropriate roles. Those who are highly skilled cannot contribute to the "constantly changing labor economy", resulting in a decrease in efficiency and diverse thinking. To actively keep black people out of
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Title VII of the Civil Rights Act of 1964 was designed to ensure fair treatment and legal protection to women and minority groups. Title VII states that it is illegal to “discriminate in employment based on a person’s race, color, religion, sex, or national origin,” and is enforced by the EEOC.
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Human capital explanations posit that men tend to rise to higher positions than women because of a disparity in work experience between the genders. The gap between men and women's tenure rises with age, and female college graduates are more likely than males to interrupt their careers to raise
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Wage gaps begin at the point of hire. In Penner’s study on the role of occupational sorting for starting salary in a firm, he found that the average market salary rate for the women hired was 67 percent of that of men. Compared to that of white people, the average market salary rate for black,
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Common diversity practices include affirmative action plans, diversity committees and task forces, diversity managers, diversity training, diversity evaluations for managers, networking programs, and mentoring programs. Kalev found that diversity in the workplace does not occur as a result of
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Residential communities consisting of a single racial minority in metropolitan areas tend to form job networks due to isolation from other races. Job networks are often used as a better way to find good employment opportunities, but it can be detrimental if it does not result in higher wages.
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emphasized the gendered division of labor as patriarchal control over women's labor. Wally Saccombe suggested the mode of production should become a unity of production and reproduction, in which women's reproductive abilities are viewed as a valuable source of labor or income. The "wages for
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According to sociologists Hanson and Pratt, men and women employ different strategies in their job searches that play a role in occupational segregation. These differing strategies are influenced by power relations in the household, the gendered nature of social life, and women's domestic
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Human capital explanations posit additionally that men are more likely than women to preference their work life over their family life. However, the General Social Survey found that men were only slightly less likely than women to value short hours, and that preferences for particular job
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characteristics and geographic variables are removed, African and Native Americans are the most segregated. While Asians and Hispanics tend to be segregated due to their individual skills and characteristics, black people and Native Americans tend to be unconditionally segregated against.
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make jobs, even higher status jobs, more attractive to women to retain them. School boards, for example, will have to appoint more women to department head positions and other positions of authority in order to retain women workers, whereas those jobs might previously have gone to men.
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Low education accounts for a large percentage of why Native Americans and black people are more segregated in the workplace. However, although racial and ethnicity differences in education levels is said to be the primary explanation for the wage gap, when comparing the wages between
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top positions. Generally, the less occupational segregation present in a country, the less vertical segregation there is because women have a better chance of obtaining the highest positions in a given occupation as their share of employment in that particular occupation increases.
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receives a report covering the race, ethnicity, and gender of employees in nine different categories from each private employer that have “more than 100 employees and government contractors with more than 50 employees and contracts worth $ 50,000.” This was required by the
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group is them). Therefore, effective policies for limiting occupational segregation must aim to provide benefits across groups. Therefore, policies that aim at capping work hours for salaried workers or mandate on-site employer sponsored childcare might be most effective.
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One drawback to initiatives such as affirmative action is that people may view women and minorities as undeserving of their positions. Other pushbacks to diversity training include white guilt and perceptions that minorities are trying to gain power over them.
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simply modern egalitarian pressures. Changes in norms may reinforce the impact of occupational integration in that once people see women in traditionally male-dominated occupations, their expectations about women in the labor market might be changed.
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who entered the economy during post-industrial restructuring primarily entered into service-sector jobs where they could work part-time and have flexible hours. While these options are often appealing to mothers, who are often responsible for the
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Hispanics, and Asians were 72, 84, and 90 percent, respectively. Since market salary rates are predetermined before the applicants are hired, the differences in market salaries between each group is the result of occupational sorting.
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due to the gendered division of labor in the home. Working-class women in particular also sometimes self-select out of more time-intensive or higher-status positions to maintain the traditional gender hierarchy and household accord.
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Calculate the percentage of men (or other ascribed category) who work in each of the occupations and the percentage of women who work in each occupation. Give each group a variable name (e.g. when comparing men and women,
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Many scholars, such as Biblarz et al., argue that occupational segregation often occurs in patterns, either horizontally (across occupations) or vertically (within the hierarchy of occupations) and is most likely caused by
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raise the salaries of potential teachers to attract candidates. This is an example of how even women in traditionally female-dominated professions still benefit salary-wise from the gendered integration of the market.
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Horizontal segregation refers to differences in the number of people of each gender presents across occupations. Horizontal segregation is likely to be increased by post-industrial restructuring of the economy
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higher positions in the workforce, management often allocates black executives to positions that are more racialized, such as diversity positions or liaison jobs that connect them to the black community.
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Cotter, D.A.; DeFiore, J.; Hermsen, J.M.; Kowalewski, B.M.; Vanneman, R. (1997). "All women benefit: The macro-level effect of occupational integration on gender earnings equality".
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Barone, C. (2011). Some things never change: gender segregation in higher education across eight nations and three decades. Sociol. Educ. 84, 157–176. doi: 10.1177/0038040711402099
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Snyder, Karrie Ann and Adam Isaiah Green. 2008. "'Revisiting the Glass Escalator: The Case of Gender Segregation in a Female Dominated Occupation." Social Problems 55(2): 271-299.
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Von Lockette found that in metropolitan areas with a high concentration of occupational segregation, less-educated black, Latino, and white males received less pay. In areas of
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and teachers are often pictured as women whereas doctors and lawyers are often assumed to be men are examples of how highly ingrained horizontal segregation is in our society.
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MAUME, DAVID J. (November 1999). "Glass Ceilings and Glass Escalators". Work and Occupations. 26 (4): 483–509. doi:10.1177/0730888499026004005. ISSN 0730-8884. S2CID 145308055
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MAUME, DAVID J. (November 1999). "Glass Ceilings and Glass Escalators". Work and Occupations. 26 (4): 483–509. doi:10.1177/0730888499026004005. ISSN 0730-8884. S2CID 145308055
5177: 739: 6306: 5689: 1896: 1259: 5128: 4308: 2337:, white men were able to receive better pay, while black and Latino men received less, which indicates the possibility that social/job networks have an effect on pay. 2028: 690: 5049: 603: 5694: 2334: 1264: 5664: 5270: 4812: 1234: 832: 358: 4959: 4436: 513: 6476: 4894: 4782: 4515: 2593: 440: 328: 4477: 2502: 2108:, and the slow transition into an industrial economy, the South’s workforce has been more racially segregated than the rest of the United States. 2115:(1910 - 1970) represented a shift in the African American population from the South to the North, and from agricultural to industrial jobs. The 6407: 5133: 4904: 4722: 4707: 4702: 4548: 2146:
The gendered division of labor helps to explain the hierarchy of power across gender identity, class, race, ethnicity, and sexual orientation.
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children. Such choices may also be attributed to the gendered division of labor which holds women primarily responsible for domestic duties.
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of their children and their homes, they are also unfortunately most available in lower-paying and lower-status occupations. The idea that
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Tomaskovic-Devey, Donald; Zimmer, Catherine; Stainback, Kevin; Robinson, Corre; Taylor, Tiffany; McTague, Tricia (August 2006).
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Chafetz, J.S. (1988). "The Gender Division of Labor and the Reproduction of Female Disadvantage: Toward an Integrated Theory".
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gender discrimination transgressions is working, but filing for racial discrimination transgressions is less likely to work.
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Charles, M. (2003). "Deciphering Sex Segregation: Vertical and Horizontal Inequalities in Ten National Labor Markets".
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Cohen, P. (2004). "The Gender Division of Labor: 'Keeping House' and Occupational Segregation in the United States".
3804:"The Impact of Equal Employment Opportunity Commission Enforcement on the Wages of Black and White Women, 1988–1996" 3601:"Wage Dynamics and Racial and Ethnic Occupational Segregation among Less-Educated Men in Metropolitan Labor Markets" 2735:"Wage Dynamics and Racial and Ethnic Occupational Segregation among Less-Educated Men in Metropolitan Labor Markets" 6358: 5145: 4832: 4553: 1948: 707: 378: 83: 2176:), in which the expansion of service industries has called for many women to enter the workforce. The millions of 5711: 5525: 5427: 5312: 4981: 4949: 4609: 4543: 2141: 1279: 1095: 989: 874: 535: 503: 147: 73: 5971: 5859: 5475: 5412: 5242: 5197: 5059: 4944: 4926: 4862: 4792: 4666: 4462: 4406: 3949: 3856:"Best Practices or Best Guesses? Assessing the Efficacy of Corporate Affirmative Action and Diversity Policies" 2507: 2355: 2120: 1545: 1433: 1045: 974: 804: 759: 613: 498: 478: 408: 338: 204: 3173:
Burris, Val. "The Dialectic of Women's Oppression: Notes of the Relation Between Capitalism and Patriarchy".
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Damaske, S. (2004). "A 'Major Career Woman'? How Women Develop Early Expectations About Work".
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Biblarz, T. J.; Bengtson, V. L.; Bucur, A. (1996). "Social mobility across three generations".
6400: 6311: 6239: 6224: 6023: 5966: 5771: 5679: 5570: 5490: 5337: 4634: 3966: 3875: 3823: 3773: 3726: 3679: 3620: 3502: 3418: 3368: 3321: 3274: 3111: 3064: 3014: 2929: 2882: 2808: 2754: 2700: 2653: 2233: 1990: 1901: 1829: 1814: 1597: 1540: 1339: 1249: 1140: 1060: 899: 172: 3399:"Race and Gender Differences in Wages: The Role of Occupational Sorting at the Point of Hire" 2863:"Race and Gender Differences in Wages: The Role of Occupational Sorting at the Point of Hire" 6363: 6348: 6276: 6197: 6167: 5998: 5834: 5540: 5108: 5103: 4954: 4852: 4228: 4195: 4148: 4118: 4080: 4036: 3997: 3988: 3958: 3925: 3867: 3815: 3765: 3718: 3671: 3612: 3410: 3360: 3313: 3266: 3159: 3155: 3103: 3056: 3006: 2921: 2874: 2800: 2746: 2692: 2645: 1953: 1938: 1866: 1787: 1757: 1572: 1408: 1110: 670: 665: 508: 398: 6466: 6378: 6286: 6182: 6131: 5991: 5976: 5956: 5921: 5634: 5545: 5480: 5287: 5232: 4877: 4267: 2563: 2100: 1968: 1876: 1772: 1713: 1565: 1550: 1530: 1495: 1204: 1115: 1050: 849: 794: 423: 5018: 3092:"The Occupational Segregation of African American Women: Its Evolution from 1940 to 2010" 572: 17: 6373: 6331: 6301: 6291: 6209: 6202: 6187: 6177: 6013: 5949: 5891: 5886: 5871: 5654: 5649: 5644: 5530: 5465: 4996: 4969: 4822: 4524: 4122: 3495: 2316: 2159: 1963: 1921: 1891: 1881: 1799: 1792: 1777: 1767: 1587: 1523: 1465: 1460: 1445: 1224: 1219: 1214: 1100: 1035: 550: 523: 368: 42: 4109:
Hanson, S.; Pratt, G. (1991). "Job Search and the Occupational Segregation of Women".
3398: 3254: 2862: 6450: 6385: 6008: 5944: 5929: 5791: 5756: 5736: 5607: 5550: 5485: 4899: 4802: 4207: 4160: 4009: 3835: 3785: 3738: 3632: 3414: 3380: 3286: 3270: 3123: 3076: 2941: 2878: 2766: 2712: 2665: 2649: 2568: 2216: 2105: 1975: 1582: 1518: 1503: 1359: 1324: 1304: 1177: 1120: 1055: 445: 348: 4048: 3978: 3887: 3430: 3333: 3026: 2894: 2820: 6219: 6106: 5934: 5901: 5881: 5811: 5801: 5781: 5761: 5397: 5297: 5282: 5028: 5003: 4867: 4807: 4772: 4737: 4732: 3091: 1809: 1688: 1508: 1475: 1455: 1379: 1369: 1349: 1329: 959: 859: 844: 582: 557: 413: 353: 318: 283: 278: 3107: 2680: 6121: 6081: 6049: 5916: 5876: 5716: 5629: 5580: 5555: 5455: 5150: 4889: 4872: 4827: 4742: 3855: 3301: 2994: 2696: 2573: 2053: 1703: 1663: 1631: 1490: 1450: 1284: 1199: 1150: 1125: 1025: 712: 435: 418: 373: 288: 3962: 3871: 3600: 3317: 3010: 2788: 2734: 6395: 6390: 6271: 6266: 6162: 6146: 6003: 5896: 5854: 5816: 5624: 5612: 5585: 5575: 5495: 4916: 4911: 4882: 4817: 4656: 3706: 3616: 3348: 3044: 2804: 2750: 1985: 1980: 1861: 1856: 1752: 1728: 1577: 1470: 1428: 1384: 1194: 1182: 1155: 1145: 1065: 462: 457: 428: 363: 194: 4199: 4152: 4040: 4001: 3879: 3827: 3777: 3730: 3722: 3683: 3624: 3422: 3372: 3364: 3325: 3278: 3115: 3068: 3060: 3018: 2933: 2886: 2812: 2758: 2704: 2657: 6296: 6244: 5961: 5560: 4682: 3146:
Mills, Mary Beth (2003). "Gender and Inequality in the Global Labor Force".
2182: 2177: 2091:
the home quicker and easier allowed more women time to enter the workforce.
1886: 1834: 1535: 1130: 228: 50: 3970: 3302:"The Intersection of Race/Ethnicity and Gender in Occupational Segregation" 2362:), which serves as a measure of dissimilarity between two distributions. 6261: 6091: 6018: 5669: 5595: 5500: 5460: 4847: 4842: 4837: 4762: 4757: 4752: 4692: 4286: 4233: 4216: 1851: 1673: 1592: 1239: 1165: 1070: 1030: 393: 388: 383: 308: 303: 298: 238: 4060:(1999). "Marriage, children, and women's employment: What do we know?". 3803: 2909: 4767: 4661: 4641: 4614: 4589: 4092: 3819: 3691: 2925: 2477:
The value for the occupation of male nurses should be 10/600, or .0166.
313: 199: 179: 152: 127: 3937: 5721: 4747: 4646: 4624: 4619: 4569: 3659: 2484:
of one group that must change their position for equality to happen.
2074: 2057: 2045: 1289: 293: 184: 162: 157: 107: 4084: 3753: 3675: 3929: 3769: 5731: 4574: 4140:
The Annals of the American Academy of Political and Social Science
3905:
Bergmann, B.R. (1981). "The Economic Risks of Being a Housewife".
3599:
Von Lockette, Niki Dickerson; Spriggs, William E. (January 2016).
3497:
Women, Gender, and Work: What is Equality and How Do We Get There?
3253:
ALONSO-VILLAR, OLGA; DEL RIO, CORAL; GRADIN, CARLOS (April 2012).
2733:
Von Lockette, Niki Dickerson; Spriggs, William E. (January 2016).
2186: 1299: 112: 4493: 6343: 6172: 1933: 1762: 4497: 4290: 3464: 3462: 3460: 3458: 3456: 3454: 3452: 2789:"Conditional occupational segregation of minorities in the US" 2049: 3705:
Perry, Nancy; Reybold, L. Earle; Waters, Nigel (2014-03-06).
3347:
Perry, Nancy; Reybold, L. Earle; Waters, Nigel (2014-03-06).
3043:
Perry, Nancy; Reybold, L. Earle; Waters, Nigel (2014-03-06).
3854:
Kalev, Alexandra; Dobbin, Frank; Kelly, Erin (August 2006).
3573: 3571: 3569: 3567: 2910:"Occupational Segregation and the (Mis)allocation of Talent" 2632:
Alonso-Villar, Olga; Rio, Coral Del; Gradin, Carlos (2012).
3542:"Fact Sheet: Occupational Segregation in the United States" 3192:
Bergeron, Suzanne. "Formal, Informal, and Care Economies".
4168:
Mincer, J. (1891). "Human Capital and Economic Growth".
2150:
contribute to this ideology through a Marxist frame of
3259:
Industrial Relations: A Journal of Economy and Society
2961: 2959: 2957: 2955: 2953: 2951: 2638:
Industrial Relations: A Journal of Economy and Society
2390: 27:
Distribution of workers across and within occupations
3752:
Pedriana, Nicholas; Stryker, Robin (November 2004).
3300:
Mintz, Beth; Krymkowski, Daniel H. (December 2010).
3229: 3227: 2845: 6155: 6032: 5825: 5436: 5078: 4925: 4675: 4562: 4531: 3707:""Everybody Was Looking for a Good Government Job"" 3658:Duncan, Otis Dudley; Duncan, Beverly (April 1955). 3349:""Everybody Was Looking for a Good Government Job"" 3045:""Everybody Was Looking for a Good Government Job"" 2467:{\displaystyle D=(1/2)\sum _{i=1}^{N}(m_{1}-w_{1})} 3660:"A Methodological Analysis of Segregation Indexes" 3494: 3090:Alonso-Villar, Olga; del RĂ­o, Coral (2016-03-10). 2466: 2060:. Other types of occupational segregation include 6307:Racial bias in criminal news in the United States 4111:Annals of the American Association of Geographers 1897:Racial bias in criminal news in the United States 3468: 5967:Same-sex marriage (laws and issues prohibiting) 1541:Same-sex marriage (laws and issues prohibiting) 5449:SPLC-designated list of anti-LGBTQ hate groups 1019:SPLC-designated list of anti-LGBTQ hate groups 4509: 4302: 3577: 2384:Duncan's D is calculated using this formula: 2022: 8: 4177:Tilcsik, A.; Anteby, M.; Knight, C. (2015). 3558: 5665:List of people killed for being transgender 3528: 2354:Occupational segregation is measured using 1235:List of people killed for being transgender 4516: 4502: 4494: 4309: 4295: 4287: 2029: 2015: 29: 4242:Weeden, K. (2007). Ritzer, George (ed.). 4232: 4030: 2455: 2442: 2429: 2418: 2403: 2389: 4783:Social determinants of health in poverty 2616: 2594:Shared earning/shared parenting marriage 329:Social determinants of health in poverty 4130:Haveman, H.A.; Beresford, L.S. (2012). 3443: 3160:10.1146/annurev.anthro.32.061002.093107 2965: 2609: 2503:Equal Employment Opportunity Commission 2493:Equal Employment Opportunity Commission 41: 4263: 4253: 3480: 3392: 3390: 3248: 3246: 3244: 3242: 3038: 3036: 2833: 3849: 3847: 3845: 3808:The Review of Black Political Economy 3797: 3795: 3653: 3651: 3605:The Review of Black Political Economy 3501:. International Labour Organization. 3233: 2988: 2986: 2977: 2914:The Scandinavian Journal of Economics 2782: 2780: 2778: 2776: 2739:The Review of Black Political Economy 2728: 2726: 2724: 2722: 2681:"Glass Ceilings and Glass Escalators" 2627: 2625: 7: 6431: 5471:Capital punishment for homosexuality 4788:Social determinants of mental health 3802:Wilhelm, Sarah A. (September 2002). 2856: 2854: 2554:Achievement gap in the United States 1041:Capital punishment for homosexuality 334:Social determinants of mental health 5591:Genital modification and mutilation 2377:equals the percentage of men, and w 1161:Genital modification and mutilation 4123:10.1111/j.1467-8306.1991.tb01688.x 3918:Journal of Marriage and the Family 3306:International Journal of Sociology 3194:Oxford Handbook of Feminist Theory 2846:Biblarz, Bengtson & Bucur 1996 2793:The Journal of Economic Inequality 25: 3493:Loutfi, Martha Fetherolf (2001). 3397:Penner, Andrew M. (August 2008). 2861:Penner, Andrew M. (August 2008). 2679:MAUME, DAVID J. (November 1999). 2369:Identify N different occupations. 6430: 6421: 6420: 6070:Diversity, equity, and inclusion 5907:Law for Protection of the Nation 5807:White genocide conspiracy theory 4450: 4449: 4187:Administrative Science Quarterly 3415:10.1111/j.1533-8525.2008.00129.x 3271:10.1111/j.1468-232x.2012.00674.x 2879:10.1111/j.1533-8525.2008.00129.x 2650:10.1111/j.1468-232X.2012.00674.x 2381:equals the percentage of women). 1652:Diversity, equity, and inclusion 1481:Law for Protection of the Nation 1375:White genocide conspiracy theory 49: 5912:MSM blood donation restrictions 5660:LGBT grooming conspiracy theory 1486:MSM blood donation restrictions 1230:LGBT grooming conspiracy theory 5925:(as religious or racial quota) 4478:Occupational safety and health 3211:. University of Toronto Press. 2461: 2435: 2411: 2397: 1499:(as religious or racial quota) 1: 6339:Second-generation gender bias 6055:Constitutional colorblindness 4778:Social determinants of health 4437:Therapy in the United Kingdom 3758:American Journal of Sociology 3175:Berkeley Journal of Sociology 3148:Annual Review of Anthropology 3108:10.1080/13545701.2016.1143959 2908:Pothier, David (2017-12-28). 2787:GradĂ­n, Carlos (2012-09-06). 1929:Second-generation gender bias 1637:Constitutional colorblindness 324:Social determinants of health 4277:"Blackwell Reference Online" 4221:European Sociological Review 4072:American Sociological Review 3908:The American Economic Review 3860:American Sociological Review 3664:American Sociological Review 3469:Haveman & Beresford 2012 2999:American Sociological Review 2056:characteristics, most often 6477:Majority–minority relations 6462:Income in the United States 6250:Medical model of disability 6102:Hate speech laws by country 2697:10.1177/0730888499026004005 2075:gender-based discrimination 1840:Medical model of disability 1684:Hate speech laws by country 6513: 6359:Social model of disability 4833:Discrimination against men 3963:10.1177/019251388009001006 3872:10.1177/000312240607100404 3403:The Sociological Quarterly 3318:10.2753/ijs0020-7659400402 3207:Bromley, Victoria (2012). 3011:10.1177/000312240607100403 2867:The Sociological Quarterly 2314: 2139: 1949:Social model of disability 379:Discrimination against men 6416: 5712:Opposition to immigration 4625:Race / Ethnicity 4445: 4322: 3617:10.1007/s12114-015-9222-5 2805:10.1007/s10888-012-9229-0 2751:10.1007/s12114-015-9222-5 2142:Sexual division of labour 1280:Opposition to immigration 163:Race / Ethnicity 18:Male-dominated occupation 6472:Sociological terminology 5707:Occupational segregation 5476:Compulsory sterilization 4468:Aspects of organizations 4407:Repetitive strain injury 4244:Occupational Segregation 4200:10.1177/0001839215576401 4153:10.1177/0002716211418443 4041:10.1177/0891243203262037 4002:10.1177/0001699303464001 3950:Journal of Family Issues 3723:10.1177/0096144214524341 3711:Journal of Urban History 3559:Cohen & Bianchi 1999 3365:10.1177/0096144214524341 3353:Journal of Urban History 3061:10.1177/0096144214524341 3049:Journal of Urban History 2508:Civil Rights Act of 1964 2121:Civil Rights Act of 1964 2042:Occupational segregation 1276:Occupational segregation 1046:Compulsory sterilization 6235:Internalized oppression 6097:Fighting Discrimination 6087:Fat acceptance movement 6045:Anti-discrimination law 5685:Native American mascots 4458:Aspects of corporations 3529:Hanson & Pratt 1991 2579:Occupational inequality 2335:residential segregation 2263:Educational disparities 2174:post-industrial society 2044:is the distribution of 1825:Internalized oppression 1679:Fighting Discrimination 1669:Fat acceptance movement 1627:Anti-discrimination law 1255:Native American mascots 6354:Social identity threat 6327:Reverse discrimination 6317:Racial color blindness 5797:Violence against women 5777:Sex-selective abortion 4317:Aspects of occupations 2468: 2434: 2360:index of dissimilarity 2246:Individual preferences 1944:Social identity threat 1917:Reverse discrimination 1907:Racial color blindness 1365:Violence against women 1345:Sex-selective abortion 6322:Religious intolerance 6282:Political correctness 6112:Intersex human rights 6060:Cultural assimilation 5742:Religious persecution 5506:Disability hate crime 4473:Aspects of workplaces 2599:Social stratification 2469: 2414: 2293:Job search strategies 1912:Religious intolerance 1872:Political correctness 1694:Intersex human rights 1642:Cultural assimilation 1310:Religious persecution 1076:Disability hate crime 6497:Feminist terminology 6492:Feminism and society 6457:Gendered occupations 5727:Political repression 4728:Anti-left handedness 4718:Anti-intellectualism 4248:Blackwell Publishing 4215:Watts, M.J. (2005). 4062:Monthly Labor Review 2685:Work and Occupations 2388: 2199:vertical segregation 2104:history of slavery, 2081:In the United States 2069:in the labor force. 1295:Political repression 274:Anti-left handedness 264:Anti-intellectualism 6230:Historical eugenics 5767:Segregation academy 5747:Religious terrorism 5536:Enemy of the people 5444:Anti-LGBTQ rhetoric 4965:Jehovah's Witnesses 4858:Perpetual foreigner 2584:Occupational sexism 2156:means of production 2148:Socialist feminists 1820:Historical eugenics 1335:Segregation academy 1315:Religious terrorism 1106:Enemy of the people 1014:Anti-LGBTQ rhetoric 519:Jehovah's Witnesses 404:Perpetual foreigner 6482:Feminist economics 6142:Social integration 6137:Self-determination 6127:Racial integration 6075:Diversity training 6065:Cultural pluralism 6040:Affirmative action 5940:Racial segregation 5850:Crime of apartheid 5752:Religious violence 5257:Indigenous people 4652:Sexual orientation 4454:See also templates 4234:10.1093/esr/jci034 4170:NBER Working Paper 4102:Gender and Society 4019:Gender and Society 3820:10.1007/bf02717311 3578:Cotter et al. 1997 3096:Feminist Economics 2926:10.1111/sjoe.12206 2589:Online segregation 2559:Division of labour 2531:Changes in culture 2518:Diversity programs 2464: 2341:Lost opportunities 2048:across and within 1724:Social integration 1719:Self-determination 1709:Racial integration 1657:Diversity training 1647:Cultural pluralism 1622:Affirmative action 1514:Racial segregation 1424:Crime of apartheid 1320:Religious violence 819:Indigenous people 190:Sexual orientation 6444: 6443: 6312:Racism by country 6240:Intersectionality 6225:Heteronormativity 6024:Voter suppression 5772:Sexual harassment 5571:Forced conversion 5491:Cultural genocide 5156:African Americans 4975:post–Cold War era 4960:Eastern Orthodoxy 4713:Anti-drug addicts 4708:Anti-homelessness 4635:Scientific racism 4491: 4490: 4412:Safety and health 3548:. 3 October 2017. 2234:intersectionality 2228:Intersectionality 2039: 2038: 1902:Racism by country 1830:Intersectionality 1815:Heteronormativity 1598:Voter suppression 1340:Sexual harassment 1141:Forced conversion 1061:Cultural genocide 718:African Americans 529:post–Cold War era 514:Eastern Orthodoxy 259:Anti-drug addicts 254:Anti-homelessness 173:Scientific racism 16:(Redirected from 6504: 6434: 6433: 6424: 6423: 6364:Social privilege 6349:Social exclusion 6277:Police brutality 6198:Multiculturalism 6168:Amatonormativity 5999:Social exclusion 5835:Age of candidacy 5635:Homeless dumping 5541:Ethnic cleansing 4518: 4511: 4504: 4495: 4453: 4452: 4311: 4304: 4297: 4288: 4280: 4279:. 31 March 2008. 4271: 4265: 4261: 4259: 4251: 4238: 4236: 4211: 4183: 4173: 4164: 4136: 4126: 4105: 4096: 4065: 4052: 4034: 4013: 3989:Acta Sociologica 3982: 3941: 3912: 3892: 3891: 3851: 3840: 3839: 3799: 3790: 3789: 3749: 3743: 3742: 3702: 3696: 3695: 3655: 3646: 3643: 3637: 3636: 3596: 3590: 3587: 3581: 3575: 3562: 3556: 3550: 3549: 3546:Equitable Growth 3538: 3532: 3526: 3520: 3519: 3517: 3515: 3500: 3490: 3484: 3478: 3472: 3466: 3447: 3441: 3435: 3434: 3394: 3385: 3384: 3344: 3338: 3337: 3297: 3291: 3290: 3250: 3237: 3231: 3222: 3219: 3213: 3212: 3209:Feminisms Matter 3204: 3198: 3197: 3189: 3183: 3182: 3170: 3164: 3163: 3143: 3137: 3134: 3128: 3127: 3087: 3081: 3080: 3040: 3031: 3030: 2990: 2981: 2975: 2969: 2963: 2946: 2945: 2905: 2899: 2898: 2858: 2849: 2843: 2837: 2831: 2825: 2824: 2784: 2771: 2770: 2730: 2717: 2716: 2676: 2670: 2669: 2629: 2620: 2614: 2473: 2471: 2470: 2465: 2460: 2459: 2447: 2446: 2433: 2428: 2407: 2365:To calculate D: 2280:Work disparities 2117:Great Depression 2031: 2024: 2017: 1954:Social privilege 1939:Social exclusion 1867:Police brutality 1788:Multiculturalism 1758:Amatonormativity 1573:Social exclusion 1409:Age of candidacy 1205:Homeless dumping 1111:Ethnic cleansing 53: 30: 21: 6512: 6511: 6507: 6506: 6505: 6503: 6502: 6501: 6447: 6446: 6445: 6440: 6412: 6287:Polyculturalism 6183:Civil liberties 6151: 6132:Reappropriation 6033:Countermeasures 6028: 5957:Racial steering 5923:Numerus clausus 5827: 5821: 5546:Ethnic conflict 5481:Corrective rape 5432: 5074: 4921: 4813:HIV/AIDS stigma 4671: 4620:Mental disorder 4558: 4527: 4522: 4492: 4487: 4463:Aspects of jobs 4441: 4318: 4315: 4285: 4275: 4262: 4252: 4241: 4214: 4181: 4176: 4167: 4134: 4129: 4108: 4099: 4085:10.2307/2657356 4068: 4055: 4032:10.1.1.536.7134 4016: 3985: 3946: 3915: 3904: 3900: 3895: 3853: 3852: 3843: 3801: 3800: 3793: 3751: 3750: 3746: 3704: 3703: 3699: 3676:10.2307/2088328 3657: 3656: 3649: 3644: 3640: 3598: 3597: 3593: 3588: 3584: 3576: 3565: 3557: 3553: 3540: 3539: 3535: 3527: 3523: 3513: 3511: 3509: 3492: 3491: 3487: 3479: 3475: 3467: 3450: 3442: 3438: 3396: 3395: 3388: 3346: 3345: 3341: 3299: 3298: 3294: 3252: 3251: 3240: 3232: 3225: 3220: 3216: 3206: 3205: 3201: 3191: 3190: 3186: 3172: 3171: 3167: 3145: 3144: 3140: 3135: 3131: 3089: 3088: 3084: 3042: 3041: 3034: 2992: 2991: 2984: 2976: 2972: 2964: 2949: 2907: 2906: 2902: 2860: 2859: 2852: 2844: 2840: 2832: 2828: 2786: 2785: 2774: 2732: 2731: 2720: 2678: 2677: 2673: 2631: 2630: 2623: 2615: 2611: 2607: 2564:Gender equality 2550: 2533: 2520: 2495: 2490: 2451: 2438: 2386: 2385: 2380: 2376: 2352: 2343: 2319: 2313: 2308: 2295: 2282: 2265: 2248: 2243: 2230: 2212: 2195: 2169: 2152:alienated labor 2144: 2138: 2133: 2113:Great Migration 2101:sex segregation 2097: 2088: 2083: 2035: 2006: 2005: 2004: 2003: 2002: 1877:Polyculturalism 1773:Civil liberties 1745: 1737: 1736: 1735: 1734: 1733: 1714:Reappropriation 1614: 1613:Countermeasures 1606: 1605: 1604: 1603: 1602: 1531:Racial steering 1497:Numerus clausus 1401: 1393: 1392: 1391: 1390: 1389: 1116:Ethnic conflict 1051:Corrective rape 1006: 998: 997: 996: 995: 994: 643: 632: 631: 630: 629: 628: 481: 471: 470: 469: 468: 467: 359:HIV/AIDS stigma 221: 213: 212: 211: 210: 209: 158:Mental disorder 100: 92: 91: 90: 89: 88: 61: 28: 23: 22: 15: 12: 11: 5: 6510: 6508: 6500: 6499: 6494: 6489: 6484: 6479: 6474: 6469: 6464: 6459: 6449: 6448: 6442: 6441: 6439: 6438: 6428: 6417: 6414: 6413: 6411: 6410: 6405: 6404: 6403: 6393: 6388: 6383: 6382: 6381: 6376: 6371: 6361: 6356: 6351: 6346: 6341: 6336: 6335: 6334: 6332:Reverse racism 6324: 6319: 6314: 6309: 6304: 6302:Prisoner abuse 6299: 6294: 6292:Power distance 6289: 6284: 6279: 6274: 6269: 6264: 6259: 6258: 6257: 6247: 6242: 6237: 6232: 6227: 6222: 6217: 6212: 6210:Ethnic penalty 6207: 6206: 6205: 6203:Neurodiversity 6200: 6190: 6188:Dehumanization 6185: 6180: 6178:Cisnormativity 6175: 6170: 6165: 6159: 6157: 6156:Related topics 6153: 6152: 6150: 6149: 6144: 6139: 6134: 6129: 6124: 6119: 6114: 6109: 6104: 6099: 6094: 6089: 6084: 6079: 6078: 6077: 6067: 6062: 6057: 6052: 6047: 6042: 6036: 6034: 6030: 6029: 6027: 6026: 6021: 6016: 6014:State religion 6011: 6006: 6001: 5996: 5995: 5994: 5989: 5984: 5979: 5969: 5964: 5959: 5954: 5953: 5952: 5950:Nuremberg Laws 5947: 5937: 5932: 5927: 5919: 5914: 5909: 5904: 5899: 5894: 5892:Ghetto benches 5889: 5887:Gerrymandering 5884: 5879: 5874: 5872:Gender pay gap 5869: 5868: 5867: 5862: 5852: 5847: 5842: 5837: 5831: 5829: 5826:Discriminatory 5823: 5822: 5820: 5819: 5814: 5809: 5804: 5799: 5794: 5789: 5784: 5779: 5774: 5769: 5764: 5759: 5754: 5749: 5744: 5739: 5734: 5729: 5724: 5719: 5714: 5709: 5704: 5703: 5702: 5697: 5692: 5682: 5677: 5672: 5667: 5662: 5657: 5655:Lavender scare 5652: 5650:Kill Haole Day 5647: 5645:Indian rolling 5642: 5637: 5632: 5627: 5622: 5621: 5620: 5610: 5605: 5604: 5603: 5593: 5588: 5583: 5578: 5573: 5568: 5563: 5558: 5553: 5548: 5543: 5538: 5533: 5531:Eliminationism 5528: 5523: 5518: 5513: 5508: 5503: 5498: 5493: 5488: 5483: 5478: 5473: 5468: 5466:Cancel culture 5463: 5458: 5453: 5452: 5451: 5440: 5438: 5437:Manifestations 5434: 5433: 5431: 5430: 5425: 5420: 5415: 5410: 5405: 5400: 5395: 5390: 5385: 5380: 5375: 5370: 5365: 5360: 5355: 5350: 5345: 5340: 5335: 5333:Middle Eastern 5330: 5325: 5320: 5315: 5310: 5305: 5300: 5295: 5290: 5285: 5280: 5275: 5274: 5273: 5268: 5263: 5255: 5250: 5245: 5240: 5235: 5230: 5225: 5220: 5215: 5210: 5205: 5200: 5195: 5190: 5185: 5180: 5175: 5170: 5169: 5168: 5163: 5158: 5148: 5143: 5138: 5137: 5136: 5131: 5126: 5116: 5111: 5106: 5101: 5096: 5091: 5085: 5083: 5076: 5075: 5073: 5072: 5070:Zoroastrianism 5067: 5062: 5057: 5052: 5047: 5046: 5045: 5035: 5034: 5033: 5032: 5031: 5026: 5021: 5016: 5001: 5000: 4999: 4997:Untouchability 4994: 4984: 4979: 4978: 4977: 4972: 4967: 4962: 4957: 4947: 4942: 4937: 4931: 4929: 4923: 4922: 4920: 4919: 4914: 4909: 4908: 4907: 4902: 4897: 4887: 4886: 4885: 4880: 4870: 4865: 4860: 4855: 4850: 4845: 4840: 4835: 4830: 4825: 4823:Leprosy stigma 4820: 4815: 4810: 4805: 4800: 4795: 4790: 4785: 4780: 4775: 4770: 4765: 4760: 4755: 4750: 4745: 4740: 4735: 4730: 4725: 4720: 4715: 4710: 4705: 4700: 4695: 4690: 4685: 4679: 4677: 4673: 4672: 4670: 4669: 4664: 4659: 4654: 4649: 4644: 4639: 4638: 4637: 4632: 4622: 4617: 4612: 4607: 4602: 4597: 4592: 4587: 4582: 4577: 4572: 4566: 4564: 4560: 4559: 4557: 4556: 4551: 4546: 4541: 4535: 4533: 4529: 4528: 4525:Discrimination 4523: 4521: 4520: 4513: 4506: 4498: 4489: 4488: 4486: 4485: 4480: 4475: 4470: 4465: 4460: 4455: 4446: 4443: 4442: 4440: 4439: 4434: 4429: 4424: 4419: 4414: 4409: 4404: 4402:Rehabilitation 4399: 4394: 4389: 4384: 4379: 4374: 4369: 4364: 4359: 4354: 4349: 4344: 4339: 4334: 4329: 4323: 4320: 4319: 4316: 4314: 4313: 4306: 4299: 4291: 4284: 4283: 4282: 4281: 4239: 4227:(5): 481–488. 4212: 4194:(3): 446–481. 4174: 4165: 4127: 4117:(2): 229–253. 4106: 4104:(25): 409–430. 4097: 4066: 4053: 4014: 3996:(4): 267–287. 3983: 3957:(1): 108–131. 3943: 3942: 3930:10.2307/353387 3924:(1): 188–200. 3913: 3901: 3899: 3896: 3894: 3893: 3866:(4): 589–617. 3841: 3791: 3770:10.1086/422588 3764:(3): 709–760. 3744: 3717:(4): 719–741. 3697: 3647: 3638: 3591: 3582: 3563: 3551: 3533: 3521: 3507: 3485: 3473: 3448: 3436: 3409:(3): 597–614. 3386: 3359:(4): 719–741. 3339: 3292: 3265:(2): 179–212. 3238: 3223: 3214: 3199: 3184: 3165: 3138: 3129: 3102:(1): 108–134. 3082: 3055:(4): 719–741. 3032: 3005:(4): 565–588. 2982: 2970: 2947: 2920:(1): 242–267. 2900: 2873:(3): 597–614. 2850: 2838: 2826: 2799:(4): 473–493. 2772: 2718: 2691:(4): 483–509. 2671: 2644:(2): 179–212. 2621: 2608: 2606: 2603: 2602: 2601: 2596: 2591: 2586: 2581: 2576: 2571: 2566: 2561: 2556: 2549: 2546: 2532: 2529: 2519: 2516: 2494: 2491: 2489: 2486: 2481: 2480: 2479: 2478: 2463: 2458: 2454: 2450: 2445: 2441: 2437: 2432: 2427: 2424: 2421: 2417: 2413: 2410: 2406: 2402: 2399: 2396: 2393: 2382: 2378: 2374: 2370: 2351: 2348: 2342: 2339: 2317:Gender pay gap 2312: 2309: 2307: 2304: 2294: 2291: 2281: 2278: 2264: 2261: 2247: 2244: 2242: 2239: 2229: 2226: 2211: 2208: 2194: 2191: 2168: 2165: 2160:Heidi Hartmann 2137: 2134: 2132: 2129: 2096: 2093: 2087: 2084: 2082: 2079: 2037: 2036: 2034: 2033: 2026: 2019: 2011: 2008: 2007: 2001: 2000: 1995: 1994: 1993: 1983: 1978: 1973: 1972: 1971: 1966: 1961: 1951: 1946: 1941: 1936: 1931: 1926: 1925: 1924: 1922:Reverse racism 1914: 1909: 1904: 1899: 1894: 1892:Prisoner abuse 1889: 1884: 1882:Power distance 1879: 1874: 1869: 1864: 1859: 1854: 1849: 1848: 1847: 1837: 1832: 1827: 1822: 1817: 1812: 1807: 1802: 1800:Ethnic penalty 1797: 1796: 1795: 1793:Neurodiversity 1790: 1780: 1778:Dehumanization 1775: 1770: 1768:Cisnormativity 1765: 1760: 1755: 1749: 1748: 1747: 1746: 1744:Related topics 1743: 1742: 1739: 1738: 1732: 1731: 1726: 1721: 1716: 1711: 1706: 1701: 1696: 1691: 1686: 1681: 1676: 1671: 1666: 1661: 1660: 1659: 1649: 1644: 1639: 1634: 1629: 1624: 1618: 1617: 1616: 1615: 1612: 1611: 1608: 1607: 1601: 1600: 1595: 1590: 1588:State religion 1585: 1580: 1575: 1570: 1569: 1568: 1563: 1558: 1553: 1543: 1538: 1533: 1528: 1527: 1526: 1524:Nuremberg Laws 1521: 1511: 1506: 1501: 1493: 1488: 1483: 1478: 1473: 1468: 1466:Ghetto benches 1463: 1461:Gerrymandering 1458: 1453: 1448: 1446:Gender pay gap 1443: 1442: 1441: 1436: 1426: 1421: 1416: 1411: 1405: 1404: 1403: 1402: 1399: 1398: 1395: 1394: 1388: 1387: 1382: 1377: 1372: 1367: 1362: 1357: 1352: 1347: 1342: 1337: 1332: 1327: 1322: 1317: 1312: 1307: 1302: 1297: 1292: 1287: 1282: 1277: 1274: 1273: 1272: 1267: 1262: 1252: 1247: 1242: 1237: 1232: 1227: 1225:Lavender scare 1222: 1220:Kill Haole Day 1217: 1215:Indian rolling 1212: 1207: 1202: 1197: 1192: 1191: 1190: 1180: 1175: 1174: 1173: 1163: 1158: 1153: 1148: 1143: 1138: 1133: 1128: 1123: 1118: 1113: 1108: 1103: 1101:Eliminationism 1098: 1093: 1088: 1083: 1078: 1073: 1068: 1063: 1058: 1053: 1048: 1043: 1038: 1036:Cancel culture 1033: 1028: 1023: 1022: 1021: 1010: 1009: 1008: 1007: 1005:Manifestations 1004: 1003: 1000: 999: 993: 992: 987: 982: 977: 972: 967: 962: 957: 952: 947: 942: 937: 932: 927: 922: 917: 912: 907: 902: 897: 895:Middle Eastern 892: 887: 882: 877: 872: 867: 862: 857: 852: 847: 842: 837: 836: 835: 830: 825: 817: 812: 807: 802: 797: 792: 787: 782: 777: 772: 767: 762: 757: 752: 747: 742: 737: 732: 731: 730: 725: 720: 710: 705: 700: 699: 698: 693: 688: 678: 673: 668: 663: 658: 653: 647: 646: 645: 644: 638: 637: 634: 633: 627: 626: 624:Zoroastrianism 621: 616: 611: 606: 601: 600: 599: 589: 588: 587: 586: 585: 580: 575: 570: 555: 554: 553: 551:Untouchability 548: 538: 533: 532: 531: 526: 521: 516: 511: 501: 496: 491: 485: 484: 483: 482: 477: 476: 473: 472: 466: 465: 460: 455: 454: 453: 448: 443: 433: 432: 431: 426: 416: 411: 406: 401: 396: 391: 386: 381: 376: 371: 369:Leprosy stigma 366: 361: 356: 351: 346: 341: 336: 331: 326: 321: 316: 311: 306: 301: 296: 291: 286: 281: 276: 271: 266: 261: 256: 251: 246: 241: 236: 231: 225: 224: 223: 222: 219: 218: 215: 214: 208: 207: 202: 197: 192: 187: 182: 177: 176: 175: 170: 160: 155: 150: 145: 140: 135: 130: 125: 120: 115: 110: 104: 103: 102: 101: 98: 97: 94: 93: 87: 86: 81: 76: 71: 65: 64: 63: 62: 59: 58: 55: 54: 46: 45: 43:Discrimination 39: 38: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 6509: 6498: 6495: 6493: 6490: 6488: 6485: 6483: 6480: 6478: 6475: 6473: 6470: 6468: 6465: 6463: 6460: 6458: 6455: 6454: 6452: 6437: 6429: 6427: 6419: 6418: 6415: 6409: 6406: 6402: 6399: 6398: 6397: 6394: 6392: 6389: 6387: 6386:Social stigma 6384: 6380: 6377: 6375: 6372: 6370: 6367: 6366: 6365: 6362: 6360: 6357: 6355: 6352: 6350: 6347: 6345: 6342: 6340: 6337: 6333: 6330: 6329: 6328: 6325: 6323: 6320: 6318: 6315: 6313: 6310: 6308: 6305: 6303: 6300: 6298: 6295: 6293: 6290: 6288: 6285: 6283: 6280: 6278: 6275: 6273: 6270: 6268: 6265: 6263: 6260: 6256: 6253: 6252: 6251: 6248: 6246: 6243: 6241: 6238: 6236: 6233: 6231: 6228: 6226: 6223: 6221: 6218: 6216: 6213: 6211: 6208: 6204: 6201: 6199: 6196: 6195: 6194: 6191: 6189: 6186: 6184: 6181: 6179: 6176: 6174: 6171: 6169: 6166: 6164: 6161: 6160: 6158: 6154: 6148: 6145: 6143: 6140: 6138: 6135: 6133: 6130: 6128: 6125: 6123: 6120: 6118: 6115: 6113: 6110: 6108: 6105: 6103: 6100: 6098: 6095: 6093: 6090: 6088: 6085: 6083: 6080: 6076: 6073: 6072: 6071: 6068: 6066: 6063: 6061: 6058: 6056: 6053: 6051: 6048: 6046: 6043: 6041: 6038: 6037: 6035: 6031: 6025: 6022: 6020: 6017: 6015: 6012: 6010: 6009:State atheism 6007: 6005: 6002: 6000: 5997: 5993: 5990: 5988: 5985: 5983: 5980: 5978: 5975: 5974: 5973: 5970: 5968: 5965: 5963: 5960: 5958: 5955: 5951: 5948: 5946: 5945:Jim Crow laws 5943: 5942: 5941: 5938: 5936: 5933: 5931: 5930:One-drop rule 5928: 5926: 5924: 5920: 5918: 5915: 5913: 5910: 5908: 5905: 5903: 5900: 5898: 5895: 5893: 5890: 5888: 5885: 5883: 5880: 5878: 5875: 5873: 5870: 5866: 5863: 5861: 5858: 5857: 5856: 5853: 5851: 5848: 5846: 5845:Blood quantum 5843: 5841: 5838: 5836: 5833: 5832: 5830: 5824: 5818: 5815: 5813: 5810: 5808: 5805: 5803: 5800: 5798: 5795: 5793: 5792:Victimisation 5790: 5788: 5787:Trans bashing 5785: 5783: 5780: 5778: 5775: 5773: 5770: 5768: 5765: 5763: 5760: 5758: 5757:Religious war 5755: 5753: 5750: 5748: 5745: 5743: 5740: 5738: 5737:Racialization 5735: 5733: 5730: 5728: 5725: 5723: 5720: 5718: 5715: 5713: 5710: 5708: 5705: 5701: 5698: 5696: 5693: 5691: 5688: 5687: 5686: 5683: 5681: 5678: 5676: 5673: 5671: 5668: 5666: 5663: 5661: 5658: 5656: 5653: 5651: 5648: 5646: 5643: 5641: 5638: 5636: 5633: 5631: 5628: 5626: 5623: 5619: 5616: 5615: 5614: 5611: 5609: 5608:Glass ceiling 5606: 5602: 5599: 5598: 5597: 5594: 5592: 5589: 5587: 5584: 5582: 5579: 5577: 5574: 5572: 5569: 5567: 5564: 5562: 5559: 5557: 5554: 5552: 5551:Ethnic hatred 5549: 5547: 5544: 5542: 5539: 5537: 5534: 5532: 5529: 5527: 5524: 5522: 5519: 5517: 5514: 5512: 5509: 5507: 5504: 5502: 5499: 5497: 5494: 5492: 5489: 5487: 5486:Counter-jihad 5484: 5482: 5479: 5477: 5474: 5472: 5469: 5467: 5464: 5462: 5459: 5457: 5454: 5450: 5447: 5446: 5445: 5442: 5441: 5439: 5435: 5429: 5426: 5424: 5421: 5419: 5416: 5414: 5411: 5409: 5406: 5404: 5401: 5399: 5396: 5394: 5391: 5389: 5386: 5384: 5381: 5379: 5376: 5374: 5371: 5369: 5366: 5364: 5361: 5359: 5356: 5354: 5351: 5349: 5346: 5344: 5341: 5339: 5336: 5334: 5331: 5329: 5326: 5324: 5321: 5319: 5316: 5314: 5311: 5309: 5306: 5304: 5301: 5299: 5296: 5294: 5291: 5289: 5286: 5284: 5281: 5279: 5276: 5272: 5271:United States 5269: 5267: 5264: 5262: 5259: 5258: 5256: 5254: 5251: 5249: 5246: 5244: 5241: 5239: 5236: 5234: 5231: 5229: 5226: 5224: 5221: 5219: 5216: 5214: 5211: 5209: 5206: 5204: 5201: 5199: 5196: 5194: 5191: 5189: 5186: 5184: 5181: 5179: 5176: 5174: 5171: 5167: 5164: 5162: 5159: 5157: 5154: 5153: 5152: 5149: 5147: 5144: 5142: 5139: 5135: 5134:United States 5132: 5130: 5127: 5125: 5122: 5121: 5120: 5117: 5115: 5112: 5110: 5107: 5105: 5102: 5100: 5097: 5095: 5092: 5090: 5087: 5086: 5084: 5082: 5077: 5071: 5068: 5066: 5063: 5061: 5058: 5056: 5055:Protestantism 5053: 5051: 5048: 5044: 5041: 5040: 5039: 5036: 5030: 5027: 5025: 5022: 5020: 5017: 5015: 5012: 5011: 5010: 5007: 5006: 5005: 5002: 4998: 4995: 4993: 4990: 4989: 4988: 4985: 4983: 4980: 4976: 4973: 4971: 4970:LDS or Mormon 4968: 4966: 4963: 4961: 4958: 4956: 4953: 4952: 4951: 4948: 4946: 4943: 4941: 4938: 4936: 4933: 4932: 4930: 4928: 4924: 4918: 4915: 4913: 4910: 4906: 4903: 4901: 4900:Transmisogyny 4898: 4896: 4893: 4892: 4891: 4888: 4884: 4881: 4879: 4876: 4875: 4874: 4871: 4869: 4866: 4864: 4861: 4859: 4856: 4854: 4851: 4849: 4846: 4844: 4841: 4839: 4836: 4834: 4831: 4829: 4826: 4824: 4821: 4819: 4816: 4814: 4811: 4809: 4806: 4804: 4803:Gerontophobia 4801: 4799: 4796: 4794: 4791: 4789: 4786: 4784: 4781: 4779: 4776: 4774: 4771: 4769: 4766: 4764: 4761: 4759: 4756: 4754: 4751: 4749: 4746: 4744: 4741: 4739: 4736: 4734: 4731: 4729: 4726: 4724: 4723:Anti-intersex 4721: 4719: 4716: 4714: 4711: 4709: 4706: 4704: 4701: 4699: 4698:Anti-albinism 4696: 4694: 4691: 4689: 4686: 4684: 4681: 4680: 4678: 4674: 4668: 4665: 4663: 4660: 4658: 4655: 4653: 4650: 4648: 4645: 4643: 4640: 4636: 4633: 4631: 4628: 4627: 4626: 4623: 4621: 4618: 4616: 4613: 4611: 4608: 4606: 4603: 4601: 4598: 4596: 4593: 4591: 4588: 4586: 4583: 4581: 4578: 4576: 4573: 4571: 4568: 4567: 4565: 4561: 4555: 4552: 4550: 4547: 4545: 4542: 4540: 4539:Institutional 4537: 4536: 4534: 4530: 4526: 4519: 4514: 4512: 4507: 4505: 4500: 4499: 4496: 4484: 4481: 4479: 4476: 4474: 4471: 4469: 4466: 4464: 4461: 4459: 4456: 4448: 4447: 4444: 4438: 4435: 4433: 4430: 4428: 4425: 4423: 4420: 4418: 4415: 4413: 4410: 4408: 4405: 4403: 4400: 4398: 4395: 4393: 4390: 4388: 4385: 4383: 4380: 4378: 4375: 4373: 4370: 4368: 4365: 4363: 4360: 4358: 4355: 4353: 4350: 4348: 4345: 4343: 4340: 4338: 4335: 4333: 4330: 4328: 4325: 4324: 4321: 4312: 4307: 4305: 4300: 4298: 4293: 4292: 4289: 4278: 4273: 4272: 4269: 4257: 4249: 4245: 4240: 4235: 4230: 4226: 4222: 4218: 4213: 4209: 4205: 4201: 4197: 4193: 4189: 4188: 4180: 4175: 4171: 4166: 4162: 4158: 4154: 4150: 4146: 4142: 4141: 4133: 4128: 4124: 4120: 4116: 4112: 4107: 4103: 4098: 4094: 4090: 4086: 4082: 4079:(5): 714–34. 4078: 4074: 4073: 4067: 4064:(122): 22–31. 4063: 4059: 4058:Bianchi, S.M. 4056:Cohen, P.N.; 4054: 4050: 4046: 4042: 4038: 4033: 4028: 4025:(2): 239–52. 4024: 4020: 4015: 4011: 4007: 4003: 3999: 3995: 3991: 3990: 3984: 3980: 3976: 3972: 3968: 3964: 3960: 3956: 3952: 3951: 3945: 3944: 3939: 3935: 3931: 3927: 3923: 3919: 3914: 3910: 3909: 3903: 3902: 3897: 3889: 3885: 3881: 3877: 3873: 3869: 3865: 3861: 3857: 3850: 3848: 3846: 3842: 3837: 3833: 3829: 3825: 3821: 3817: 3813: 3809: 3805: 3798: 3796: 3792: 3787: 3783: 3779: 3775: 3771: 3767: 3763: 3759: 3755: 3748: 3745: 3740: 3736: 3732: 3728: 3724: 3720: 3716: 3712: 3708: 3701: 3698: 3693: 3689: 3685: 3681: 3677: 3673: 3669: 3665: 3661: 3654: 3652: 3648: 3642: 3639: 3634: 3630: 3626: 3622: 3618: 3614: 3610: 3606: 3602: 3595: 3592: 3586: 3583: 3579: 3574: 3572: 3570: 3568: 3564: 3560: 3555: 3552: 3547: 3543: 3537: 3534: 3530: 3525: 3522: 3510: 3508:92-2-111386-8 3504: 3499: 3498: 3489: 3486: 3482: 3477: 3474: 3470: 3465: 3463: 3461: 3459: 3457: 3455: 3453: 3449: 3445: 3440: 3437: 3432: 3428: 3424: 3420: 3416: 3412: 3408: 3404: 3400: 3393: 3391: 3387: 3382: 3378: 3374: 3370: 3366: 3362: 3358: 3354: 3350: 3343: 3340: 3335: 3331: 3327: 3323: 3319: 3315: 3311: 3307: 3303: 3296: 3293: 3288: 3284: 3280: 3276: 3272: 3268: 3264: 3260: 3256: 3249: 3247: 3245: 3243: 3239: 3235: 3230: 3228: 3224: 3218: 3215: 3210: 3203: 3200: 3195: 3188: 3185: 3180: 3176: 3169: 3166: 3161: 3157: 3153: 3149: 3142: 3139: 3133: 3130: 3125: 3121: 3117: 3113: 3109: 3105: 3101: 3097: 3093: 3086: 3083: 3078: 3074: 3070: 3066: 3062: 3058: 3054: 3050: 3046: 3039: 3037: 3033: 3028: 3024: 3020: 3016: 3012: 3008: 3004: 3000: 2996: 2989: 2987: 2983: 2979: 2974: 2971: 2967: 2962: 2960: 2958: 2956: 2954: 2952: 2948: 2943: 2939: 2935: 2931: 2927: 2923: 2919: 2915: 2911: 2904: 2901: 2896: 2892: 2888: 2884: 2880: 2876: 2872: 2868: 2864: 2857: 2855: 2851: 2847: 2842: 2839: 2835: 2830: 2827: 2822: 2818: 2814: 2810: 2806: 2802: 2798: 2794: 2790: 2783: 2781: 2779: 2777: 2773: 2768: 2764: 2760: 2756: 2752: 2748: 2744: 2740: 2736: 2729: 2727: 2725: 2723: 2719: 2714: 2710: 2706: 2702: 2698: 2694: 2690: 2686: 2682: 2675: 2672: 2667: 2663: 2659: 2655: 2651: 2647: 2643: 2639: 2635: 2628: 2626: 2622: 2618: 2617:Bergmann 1981 2613: 2610: 2604: 2600: 2597: 2595: 2592: 2590: 2587: 2585: 2582: 2580: 2577: 2575: 2572: 2570: 2569:Glass ceiling 2567: 2565: 2562: 2560: 2557: 2555: 2552: 2551: 2547: 2545: 2541: 2537: 2530: 2528: 2524: 2517: 2515: 2511: 2509: 2504: 2499: 2492: 2487: 2485: 2475: 2474: 2456: 2452: 2448: 2443: 2439: 2430: 2425: 2422: 2419: 2415: 2408: 2404: 2400: 2394: 2391: 2383: 2371: 2368: 2367: 2366: 2363: 2361: 2357: 2349: 2347: 2340: 2338: 2336: 2331: 2327: 2323: 2318: 2310: 2305: 2303: 2299: 2292: 2290: 2286: 2279: 2277: 2273: 2269: 2262: 2260: 2256: 2252: 2245: 2240: 2238: 2235: 2227: 2225: 2221: 2218: 2217:human capital 2209: 2207: 2203: 2200: 2192: 2190: 2188: 2184: 2179: 2175: 2166: 2164: 2161: 2157: 2153: 2149: 2143: 2135: 2130: 2128: 2124: 2122: 2118: 2114: 2109: 2107: 2102: 2095:Racial trends 2094: 2092: 2086:Gender trends 2085: 2080: 2078: 2076: 2070: 2066: 2063: 2059: 2055: 2052:, based upon 2051: 2047: 2043: 2032: 2027: 2025: 2020: 2018: 2013: 2012: 2010: 2009: 1999: 1996: 1992: 1989: 1988: 1987: 1984: 1982: 1979: 1977: 1976:Social stigma 1974: 1970: 1967: 1965: 1962: 1960: 1957: 1956: 1955: 1952: 1950: 1947: 1945: 1942: 1940: 1937: 1935: 1932: 1930: 1927: 1923: 1920: 1919: 1918: 1915: 1913: 1910: 1908: 1905: 1903: 1900: 1898: 1895: 1893: 1890: 1888: 1885: 1883: 1880: 1878: 1875: 1873: 1870: 1868: 1865: 1863: 1860: 1858: 1855: 1853: 1850: 1846: 1843: 1842: 1841: 1838: 1836: 1833: 1831: 1828: 1826: 1823: 1821: 1818: 1816: 1813: 1811: 1808: 1806: 1803: 1801: 1798: 1794: 1791: 1789: 1786: 1785: 1784: 1781: 1779: 1776: 1774: 1771: 1769: 1766: 1764: 1761: 1759: 1756: 1754: 1751: 1750: 1741: 1740: 1730: 1727: 1725: 1722: 1720: 1717: 1715: 1712: 1710: 1707: 1705: 1702: 1700: 1697: 1695: 1692: 1690: 1687: 1685: 1682: 1680: 1677: 1675: 1672: 1670: 1667: 1665: 1662: 1658: 1655: 1654: 1653: 1650: 1648: 1645: 1643: 1640: 1638: 1635: 1633: 1630: 1628: 1625: 1623: 1620: 1619: 1610: 1609: 1599: 1596: 1594: 1591: 1589: 1586: 1584: 1583:State atheism 1581: 1579: 1576: 1574: 1571: 1567: 1564: 1562: 1559: 1557: 1554: 1552: 1549: 1548: 1547: 1544: 1542: 1539: 1537: 1534: 1532: 1529: 1525: 1522: 1520: 1519:Jim Crow laws 1517: 1516: 1515: 1512: 1510: 1507: 1505: 1504:One-drop rule 1502: 1500: 1498: 1494: 1492: 1489: 1487: 1484: 1482: 1479: 1477: 1474: 1472: 1469: 1467: 1464: 1462: 1459: 1457: 1454: 1452: 1449: 1447: 1444: 1440: 1437: 1435: 1432: 1431: 1430: 1427: 1425: 1422: 1420: 1419:Blood quantum 1417: 1415: 1412: 1410: 1407: 1406: 1397: 1396: 1386: 1383: 1381: 1378: 1376: 1373: 1371: 1368: 1366: 1363: 1361: 1360:Victimisation 1358: 1356: 1355:Trans bashing 1353: 1351: 1348: 1346: 1343: 1341: 1338: 1336: 1333: 1331: 1328: 1326: 1325:Religious war 1323: 1321: 1318: 1316: 1313: 1311: 1308: 1306: 1305:Racialization 1303: 1301: 1298: 1296: 1293: 1291: 1288: 1286: 1283: 1281: 1278: 1275: 1271: 1268: 1266: 1263: 1261: 1258: 1257: 1256: 1253: 1251: 1248: 1246: 1243: 1241: 1238: 1236: 1233: 1231: 1228: 1226: 1223: 1221: 1218: 1216: 1213: 1211: 1208: 1206: 1203: 1201: 1198: 1196: 1193: 1189: 1186: 1185: 1184: 1181: 1179: 1178:Glass ceiling 1176: 1172: 1169: 1168: 1167: 1164: 1162: 1159: 1157: 1154: 1152: 1149: 1147: 1144: 1142: 1139: 1137: 1134: 1132: 1129: 1127: 1124: 1122: 1121:Ethnic hatred 1119: 1117: 1114: 1112: 1109: 1107: 1104: 1102: 1099: 1097: 1094: 1092: 1089: 1087: 1084: 1082: 1079: 1077: 1074: 1072: 1069: 1067: 1064: 1062: 1059: 1057: 1056:Counter-jihad 1054: 1052: 1049: 1047: 1044: 1042: 1039: 1037: 1034: 1032: 1029: 1027: 1024: 1020: 1017: 1016: 1015: 1012: 1011: 1002: 1001: 991: 988: 986: 983: 981: 978: 976: 973: 971: 968: 966: 963: 961: 958: 956: 953: 951: 948: 946: 943: 941: 938: 936: 933: 931: 928: 926: 923: 921: 918: 916: 913: 911: 908: 906: 903: 901: 898: 896: 893: 891: 888: 886: 883: 881: 878: 876: 873: 871: 868: 866: 863: 861: 858: 856: 853: 851: 848: 846: 843: 841: 838: 834: 833:United States 831: 829: 826: 824: 821: 820: 818: 816: 813: 811: 808: 806: 803: 801: 798: 796: 793: 791: 788: 786: 783: 781: 778: 776: 773: 771: 768: 766: 763: 761: 758: 756: 753: 751: 748: 746: 743: 741: 738: 736: 733: 729: 726: 724: 721: 719: 716: 715: 714: 711: 709: 706: 704: 701: 697: 696:United States 694: 692: 689: 687: 684: 683: 682: 679: 677: 674: 672: 669: 667: 664: 662: 659: 657: 654: 652: 649: 648: 642: 636: 635: 625: 622: 620: 617: 615: 612: 610: 609:Protestantism 607: 605: 602: 598: 595: 594: 593: 590: 584: 581: 579: 576: 574: 571: 569: 566: 565: 564: 561: 560: 559: 556: 552: 549: 547: 544: 543: 542: 539: 537: 534: 530: 527: 525: 524:LDS or Mormon 522: 520: 517: 515: 512: 510: 507: 506: 505: 502: 500: 497: 495: 492: 490: 487: 486: 480: 475: 474: 464: 461: 459: 456: 452: 449: 447: 446:Transmisogyny 444: 442: 439: 438: 437: 434: 430: 427: 425: 422: 421: 420: 417: 415: 412: 410: 407: 405: 402: 400: 397: 395: 392: 390: 387: 385: 382: 380: 377: 375: 372: 370: 367: 365: 362: 360: 357: 355: 352: 350: 349:Gerontophobia 347: 345: 342: 340: 337: 335: 332: 330: 327: 325: 322: 320: 317: 315: 312: 310: 307: 305: 302: 300: 297: 295: 292: 290: 287: 285: 282: 280: 277: 275: 272: 270: 269:Anti-intersex 267: 265: 262: 260: 257: 255: 252: 250: 247: 245: 244:Anti-albinism 242: 240: 237: 235: 232: 230: 227: 226: 217: 216: 206: 203: 201: 198: 196: 193: 191: 188: 186: 183: 181: 178: 174: 171: 169: 166: 165: 164: 161: 159: 156: 154: 151: 149: 146: 144: 141: 139: 136: 134: 131: 129: 126: 124: 121: 119: 116: 114: 111: 109: 106: 105: 96: 95: 85: 82: 80: 77: 75: 72: 70: 69:Institutional 67: 66: 57: 56: 52: 48: 47: 44: 40: 36: 32: 31: 19: 6220:Gender-blind 6107:Human rights 5935:Racial quota 5922: 5902:Jewish quota 5882:Gerontocracy 5877:Gender roles 5855:Disabilities 5840:Blood purity 5812:Wife selling 5802:White flight 5782:Slut-shaming 5762:Scapegoating 5706: 5680:Murder music 5353:Palestinians 5166:South Africa 5151:Black people 5129:South Africa 4950:Christianity 4940:Bahåʟí Faith 4868:Sectarianism 4808:Heterosexism 4773:Ephebiphobia 4738:Antisemitism 4733:Anti-Masonry 4600:Hair texture 4243: 4224: 4220: 4191: 4185: 4169: 4144: 4138: 4114: 4110: 4101: 4076: 4070: 4061: 4022: 4018: 3993: 3987: 3954: 3948: 3921: 3917: 3906: 3898:Bibliography 3863: 3859: 3814:(2): 25–51. 3811: 3807: 3761: 3757: 3747: 3714: 3710: 3700: 3667: 3663: 3641: 3611:(1): 35–56. 3608: 3604: 3594: 3585: 3554: 3545: 3536: 3524: 3512:. Retrieved 3496: 3488: 3476: 3444:Damaske 2004 3439: 3406: 3402: 3356: 3352: 3342: 3312:(4): 31–58. 3309: 3305: 3295: 3262: 3258: 3217: 3208: 3202: 3193: 3187: 3178: 3174: 3168: 3151: 3147: 3141: 3132: 3099: 3095: 3085: 3052: 3048: 3002: 2998: 2973: 2966:Charles 2003 2917: 2913: 2903: 2870: 2866: 2841: 2829: 2796: 2792: 2745:(1): 35–56. 2742: 2738: 2688: 2684: 2674: 2641: 2637: 2612: 2542: 2538: 2534: 2525: 2521: 2512: 2500: 2496: 2482: 2364: 2353: 2344: 2332: 2328: 2324: 2320: 2300: 2296: 2287: 2283: 2274: 2270: 2266: 2257: 2253: 2249: 2231: 2222: 2213: 2204: 2198: 2196: 2170: 2145: 2125: 2110: 2098: 2089: 2071: 2067: 2041: 2040: 1810:Gender-blind 1689:Human rights 1509:Racial quota 1496: 1476:Jewish quota 1456:Gerontocracy 1451:Gender roles 1429:Disabilities 1414:Blood purity 1380:Wife selling 1370:White flight 1350:Slut-shaming 1330:Scapegoating 1250:Murder music 915:Palestinians 728:South Africa 713:Black people 691:South Africa 504:Christianity 494:Bahåʟí Faith 414:Sectarianism 354:Heterosexism 319:Ephebiphobia 284:Antisemitism 279:Anti-Masonry 138:Hair texture 6122:Nonviolence 6117:LGBT rights 6082:Empowerment 6050:Anti-racism 5972:Segregation 5917:No kid zone 5717:Persecution 5630:Hate speech 5581:Gay bashing 5556:Ethnic joke 5511:Dog whistle 5456:Blood libel 5146:Azerbaijani 5050:Neopaganism 5043:Persecution 5009:Persecution 4992:Persecution 4955:Catholicism 4890:Transphobia 4873:Supremacism 4828:Lesbophobia 4743:Aporophobia 4703:Anti-autism 4554:Taste-based 4549:Statistical 4264:|work= 3911:(71): 81–6. 3481:Mincer 1891 2834:Weeden 2007 2574:Mommy track 2350:Measurement 2224:over time. 2054:demographic 2050:occupations 1704:Nonviolence 1699:LGBT rights 1664:Empowerment 1632:Anti-racism 1546:Segregation 1491:No kid zone 1285:Persecution 1200:Hate speech 1151:Gay bashing 1126:Ethnic joke 1081:Dog whistle 1026:Blood libel 708:Azerbaijani 604:Neopaganism 597:Persecution 563:Persecution 546:Persecution 509:Catholicism 436:Transphobia 419:Supremacism 374:Lesbophobia 289:Aporophobia 249:Anti-autism 84:Taste-based 79:Statistical 6487:Inequality 6451:Categories 6396:Stereotype 6391:Speciesism 6272:Oppression 6267:Oikophobia 6163:Allophilia 6147:Toleration 6004:Sodomy law 5897:Internment 5817:Witch-hunt 5695:Blackhawks 5625:Hate group 5613:Hate crime 5586:Gendercide 5576:Freak show 5566:Excellence 5526:Employment 5496:Defamation 5428:Vietnamese 5423:Venezuelan 5313:Lithuanian 4982:Falun Gong 4917:Xenophobia 4912:Vegaphobia 4895:Non-binary 4853:Pedophobia 4818:Homophobia 4630:Skin color 4590:Disability 4563:Attributes 4544:Structural 4483:Employment 4392:Psychology 4367:Inequality 4147:: 114–30. 3670:(2): 210. 3514:21 October 3234:Watts 2005 2978:Cohen 2004 2605:References 2356:Duncan's D 2315:See also: 2178:housewives 2167:Horizontal 2140:See also: 1986:Stereotype 1981:Speciesism 1862:Oppression 1857:Oikophobia 1753:Allophilia 1729:Toleration 1578:Sodomy law 1471:Internment 1385:Witch-hunt 1265:Blackhawks 1195:Hate group 1183:Hate crime 1156:Gendercide 1146:Freak show 1136:Excellence 1096:Employment 1066:Defamation 990:Vietnamese 985:Venezuelan 875:Lithuanian 536:Falun Gong 463:Xenophobia 458:Vegaphobia 441:Non-binary 399:Pedophobia 364:Homophobia 168:Skin color 128:Disability 99:Attributes 74:Structural 6369:Christian 6297:Prejudice 6245:Masculism 6193:Diversity 5987:religious 5962:Redlining 5561:Ethnocide 5521:Education 5413:Ukrainian 5348:Pakistani 5338:Mongolian 5261:Australia 5243:Hungarian 5198:Colombian 5178:Bulgarian 5060:Rastafari 5014:Ahmadiyya 4927:Religious 4905:Trans men 4863:Pregnancy 4798:Gayphobia 4793:Fatphobia 4688:Acephobia 4683:Arophobia 4667:Viewpoint 4427:Therapist 4397:Psychosis 4377:Injustice 4327:Apartheid 4266:ignored ( 4256:cite book 4208:197658682 4161:145618752 4027:CiteSeerX 4010:220174984 3880:0003-1224 3836:154242679 3828:0034-6446 3786:145447433 3778:0002-9602 3739:144056804 3731:0096-1442 3684:0003-1224 3633:153954367 3625:0034-6446 3423:0038-0253 3381:144056804 3373:0096-1442 3326:0020-7659 3287:154675302 3279:0019-8676 3154:: 41–62. 3124:155696086 3116:1354-5701 3077:144056804 3069:0096-1442 3019:0003-1224 2942:157046831 2934:0347-0520 2887:0038-0253 2813:1569-1721 2767:153954367 2759:0034-6446 2713:145308055 2705:0730-8884 2666:154675302 2658:1468-232X 2488:Solutions 2449:− 2416:∑ 2197:The term 2183:care work 2099:Data for 1959:Christian 1887:Prejudice 1835:Masculism 1783:Diversity 1561:religious 1536:Redlining 1131:Ethnocide 1091:Education 975:Ukrainian 910:Pakistani 900:Mongolian 823:Australia 805:Hungarian 760:Colombian 740:Bulgarian 614:Rastafari 568:Ahmadiyya 479:Religious 451:Trans men 409:Pregnancy 344:Gayphobia 339:Fatphobia 234:Acephobia 229:Arophobia 205:Viewpoint 6426:Category 6408:The talk 6344:Snobbery 6262:Net bias 6092:Feminism 6019:Ugly law 5860:Catholic 5828:policies 5675:Mortgage 5670:Lynching 5601:examples 5596:Genocide 5516:Economic 5501:Democide 5461:Bullying 5378:Romanian 5343:Nigerian 5293:Japanese 5223:Georgian 5208:Filipino 5141:Assyrian 5114:Armenian 5104:American 5099:Albanian 5081:National 5065:Yazidism 4987:Hinduism 4945:Buddhism 4848:Nepotism 4843:Misogyny 4838:Misandry 4763:Cronyism 4758:Clannism 4753:Biphobia 4693:Adultism 4610:Language 4387:Prestige 4382:Medicine 4357:Fatality 4274:Online: 4049:18231053 3979:22304541 3971:12281309 3888:10327121 3431:55394864 3334:14946364 3181:: 51–74. 3027:55627674 2895:55394864 2821:59583403 2548:See also 2358:(or the 2311:Wage gap 2193:Vertical 2154:and the 2106:Jim Crow 1998:The talk 1934:Snobbery 1852:Net bias 1674:Feminism 1593:Ugly law 1434:Catholic 1400:Policies 1245:Mortgage 1240:Lynching 1171:examples 1166:Genocide 1086:Economic 1071:Democide 1031:Bullying 940:Romanian 905:Nigerian 855:Japanese 785:Georgian 770:Filipino 703:Assyrian 676:Armenian 666:American 661:Albanian 641:national 619:Yazidism 541:Hinduism 499:Buddhism 394:Nepotism 389:Misogyny 384:Misandry 309:Cronyism 304:Clannism 299:Biphobia 239:Adultism 148:Language 35:a series 33:Part of 6436:Commons 6215:Figleaf 5640:Housing 5408:Turkish 5358:Pashtun 5328:Mexican 5308:Kurdish 5288:Italian 5283:Israeli 5233:Haitian 5218:Finnish 5193:Chinese 5188:Chechen 5183:Catalan 5173:Bengali 5094:African 5079:Ethnic/ 5038:Judaism 5029:Sunnism 5019:Shi'ism 4935:Atheism 4768:Elitism 4657:Species 4595:Genetic 4585:Dialect 4432:Therapy 4417:Science 4362:Hygiene 4352:Disease 4342:Closure 4337:Burnout 4093:2657356 3692:2088328 2306:Effects 2046:workers 1805:Figleaf 1210:Housing 970:Turkish 920:Pashtun 890:Mexican 870:Kurdish 850:Italian 845:Israeli 795:Haitian 780:Finnish 755:Chinese 750:Chechen 745:Catalan 735:Bengali 656:African 639:Ethnic/ 592:Judaism 583:Sunnism 573:Shi'ism 489:Atheism 314:Elitism 195:Species 133:Genetic 123:Dialect 6467:Sexism 6401:threat 6255:autism 5992:sexual 5982:racial 5865:Jewish 5722:Pogrom 5700:Chiefs 5690:Braves 5418:Uyghur 5393:Somali 5388:Slavic 5373:Romani 5368:Quebec 5363:Polish 5303:Korean 5298:Jewish 5266:Canada 5253:Indian 5238:Hazara 5213:Fulani 5124:France 5089:Afghan 5024:Sufism 4748:Audism 4676:Social 4605:Height 4422:Stress 4372:Injury 4332:Asthma 4206:  4172:(802). 4159:  4091:  4047:  4029:  4008:  3977:  3969:  3938:353387 3936:  3886:  3878:  3834:  3826:  3784:  3776:  3737:  3729:  3690:  3682:  3631:  3623:  3505:  3429:  3421:  3379:  3371:  3332:  3324:  3285:  3277:  3122:  3114:  3075:  3067:  3025:  3017:  2940:  2932:  2893:  2885:  2819:  2811:  2765:  2757:  2711:  2703:  2664:  2656:  2241:Causes 2187:nurses 2136:Gender 2062:racial 2058:gender 1991:threat 1845:autism 1566:sexual 1556:racial 1439:Jewish 1290:Pogrom 1270:Chiefs 1260:Braves 980:Uyghur 955:Somali 950:Slavic 935:Romani 930:Quebec 925:Polish 865:Korean 860:Jewish 828:Canada 815:Indian 800:Hazara 775:Fulani 686:France 651:Afghan 578:Sufism 294:Audism 220:Social 143:Height 6379:white 5732:Purge 5398:Tatar 5323:Māori 5318:Malay 5278:Irish 5228:Greek 5203:Croat 5161:China 5119:Asian 5004:Islam 4878:White 4615:Looks 4580:Class 4575:Caste 4532:Forms 4347:Crime 4204:S2CID 4182:(PDF) 4157:S2CID 4135:(PDF) 4089:JSTOR 4045:S2CID 4006:S2CID 3975:S2CID 3934:JSTOR 3884:S2CID 3832:S2CID 3782:S2CID 3735:S2CID 3688:JSTOR 3629:S2CID 3427:S2CID 3377:S2CID 3330:S2CID 3283:S2CID 3120:S2CID 3073:S2CID 3023:S2CID 2938:S2CID 2891:S2CID 2817:S2CID 2763:S2CID 2709:S2CID 2662:S2CID 2131:Types 1969:white 1300:Purge 960:Tatar 885:Māori 880:Malay 840:Irish 790:Greek 765:Croat 723:China 681:Asian 558:Islam 424:White 153:Looks 118:Class 113:Caste 60:Forms 6374:male 6173:Bias 5618:LGBT 5403:Thai 5383:Serb 5248:Igbo 5109:Arab 4883:Male 4662:Size 4642:Rank 4268:help 3967:PMID 3876:ISSN 3824:ISSN 3774:ISSN 3727:ISSN 3680:ISSN 3621:ISSN 3516:2019 3503:ISBN 3419:ISSN 3369:ISSN 3322:ISSN 3275:ISSN 3112:ISSN 3065:ISSN 3015:ISSN 2930:ISSN 2883:ISSN 2809:ISSN 2755:ISSN 2701:ISSN 2654:ISSN 2501:The 2232:The 2210:Race 2111:The 1964:male 1763:Bias 1188:LGBT 965:Thai 945:Serb 810:Igbo 671:Arab 429:Male 200:Size 180:Rank 5977:age 4647:Sex 4570:Age 4229:doi 4196:doi 4149:doi 4145:639 4119:doi 4081:doi 4037:doi 3998:doi 3959:doi 3926:doi 3868:doi 3816:doi 3766:doi 3762:110 3719:doi 3672:doi 3613:doi 3411:doi 3361:doi 3314:doi 3267:doi 3156:doi 3104:doi 3057:doi 3007:doi 2922:doi 2918:120 2875:doi 2801:doi 2747:doi 2693:doi 2646:doi 1551:age 185:Sex 108:Age 6453:: 4260:: 4258:}} 4254:{{ 4246:. 4225:21 4223:. 4219:. 4202:. 4192:60 4190:. 4184:. 4155:. 4143:. 4137:. 4115:81 4113:. 4087:. 4077:62 4075:. 4043:. 4035:. 4023:18 4021:. 4004:. 3994:46 3992:. 3973:. 3965:. 3953:. 3932:. 3922:58 3920:. 3882:. 3874:. 3864:71 3862:. 3858:. 3844:^ 3830:. 3822:. 3812:30 3810:. 3806:. 3794:^ 3780:. 3772:. 3760:. 3756:. 3733:. 3725:. 3715:40 3713:. 3709:. 3686:. 3678:. 3668:20 3666:. 3662:. 3650:^ 3627:. 3619:. 3609:43 3607:. 3603:. 3566:^ 3544:. 3451:^ 3425:. 3417:. 3407:49 3405:. 3401:. 3389:^ 3375:. 3367:. 3357:40 3355:. 3351:. 3328:. 3320:. 3310:40 3308:. 3304:. 3281:. 3273:. 3263:51 3261:. 3257:. 3241:^ 3226:^ 3179:27 3177:. 3152:32 3150:. 3118:. 3110:. 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Index

Male-dominated occupation
a series
Discrimination

Institutional
Structural
Statistical
Taste-based
Age
Caste
Class
Dialect
Disability
Genetic
Hair texture
Height
Language
Looks
Mental disorder
Race / Ethnicity
Skin color
Scientific racism
Rank
Sex
Sexual orientation
Species
Size
Viewpoint
Arophobia
Acephobia

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