Knowledge (XXG)

:Knowledge (XXG) Signpost/2023-05-08/Recent research - Knowledge (XXG)

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1020:"In light of the adoption of Wikidata for increasingly complex tasks that rely on similarity, and its unique size, breadth, and crowdsourcing nature, we propose that conceptual similarity should be revisited for the case of Wikidata. In this paper, we study a wide range of representative similarity methods for Wikidata, organized into three categories, and leverage background information for knowledge injection via retrofitting. We measure the impact of retrofitting with different weighted subsets from Wikidata and ProBase. Experiments on three benchmarks show that the best performance is achieved by pairing language models with rich information, whereas the impact of injecting knowledge is most positive on methods that originally do not consider comprehensive information. The performance of retrofitting is conditioned on the selection of high-quality similarity knowledge. A key limitation of this study, similar to prior work lies in the limited size and scope of the similarity benchmarks. While Wikidata provides an unprecedented possibility for a representative evaluation of concept similarity, effectively doing so remains a key challenge." 2409:. Don't forget there are several big issues with women that men don't have that makes data collection (and thus findability for Wikipedians wishing to create articles) very complex and difficult. Obviously the biggest issue is systemic bias by language (no info in English? article ain't happening). Women tend to travel less than men, due to family issues, making their chances of crossing language lines in news articles much less on the whole as a group. Secondly, women get married and change their name, clouding findability by genealogy methods. Thirdly, women hide their birth dates due to ageism in various fields, which again clouds findability for potential Wikipedians. The main issue that could contribute to a higher degree of article deletions for women and minorities is thus a lack of sources, but this does not address "ghost edits" or articles that were started but never happened. Collecting data on articles by Knowledge (XXG) project is definitely useful, but it gets interesting only when you drill down into things like occupation, notable works, and birth country, among other datapoints. 1037:
populating infoboxes. On the other hand, Knowledge (XXG) articles are routinely updated, which in turn keeps Wikidata fresh and useful for online applications. However, the Knowledge (XXG) editorial guidelines require that an entity be notable or worthy of notice to be added to the encyclopedia, which does not hold for all Wikidata entities. We refer to the remaining entities, which do not have an article in Knowledge (XXG), as orphans. In the absence of a textual counterpart, orphans often suffer from incompleteness and lack of maintenance. Our present effort stems from the observation that a substantial number of orphan entities are indeed represented in Knowledge (XXG), but not at the page level; orphan entities are often described within existing Knowledge (XXG) articles in the form of sections, subsections, and paragraphs of a more generic concept or fact. For example, the English Knowledge (XXG) does not have a dedicated page about “Tennis racket”, it is instead embedded in the “Racket” page as a section, whereas it can be found as a standalone (orphan) entity on Wikidata (“Q153362”)."
981:" we employ Knowledge (XXG) as a ‘reflexive tool’, i.e., an external artefact of self-observation that can help sociologists to notice conventions, biases, and blind spots within their discipline. We analyse the collective patterns of the 500 most notable sociologists on Knowledge (XXG), performing structural, network, and text analyses of their biographies. Our exploration reveals patterns in their historical frequency, gender composition, geographical concentration, birth-death mobility, centrality degree, biographical clustering, and proximity between countries, also stressing institutions, events, places, and relevant dates from a biographical point of view. Linking these patterns in a diachronic way, we distinguish five generations of sociologists recorded on Knowledge (XXG) and emphasise the high historical concentration of the discipline in geographical areas, gender, and schools of thought." 227:" explored how metrics used to assess notability on Knowledge (XXG) (WP:Search Engine Test; “Too Soon”) are applied across biographies of academics. To do so, we first web-scraped biographies of academics nominated for deletion from 2017 to 2020 (n = 843). Next, we created a numerical proxy for each subject's online presence score. This value is meant to emulate Knowledge (XXG)'s “Search Engine Test,” (WP:Search Engine Test) a convenient and common way editors can determine probable notability before nominating a biography for deletion. We also conducted a qualitative analysis of the discussions surrounding deleted biographies labeled “Too Soon,” (WP:Too soon). Doing so allowed our research team to assess if gender and/or racial discrepancies existed in deciding whether a biography was considered notable enough for Knowledge (XXG). We find that both metrics are implemented idiosyncratically." 715:
TOOSOON, it is not intended to strengthen the case for deletion. Maybe it is the opposite: it is a ray of hope in an otherwise negative opinion. If I think someone is not likely to ever be notable, I am probably just going to say delete, and explain why. If I think an academic does not currently meet our notability standards, but is on a trajectory on which they might well eventually do so, years later, I will say TOOSOON. We often see re-creations of the same articles, years apart, and including this in an opinion is a suggestion that if we discuss the same case again sometime we should check their accomplishments again more carefully instead of relying on past opinions.
994:"This study examines the potentials of Wikidata and Knowledge (XXG) as knowledge graphs for the social sciences. The study demonstrates how social science research may benefit from these knowledge bases by examining what we can learn from Wikidata and Knowledge (XXG) about global billionaires (2010-2022). We show that the English Knowledge (XXG) and, to a lesser extent, Wikidata exhibit gender and nationality biased in the coverage and information about global billionaires. Using the genealogical information that Wikidata provides, we examine the family webs of billionaires and show that at least 15% of all billionaires have a family member also being a billionaire." 506:
bibliographies including citations to the person in question. Furthermore, it will penalize those who are written about in languages other than English. The various criteria of WP:PROF, which start with citation databases but decidedly do not end there, provide a far less superficial understanding of article-worthiness. It is also the case that the consensus-building in AfD's reliant upon WP:PROF allows for greater discernment and flexibility where differences between specializations are concerned. (Lemieux et al. do not individuate between disciplines, despite the strong likelihood that some fields are more heavily advertised and more
2391:, I am surprised that women represented 30% of your sample; I would have expected it to be lower, given the undue weight that Knowledge (XXG) authors and the results of our notability guidelines give to sports figures, who are predominantly male. I would be interested to see the same percentage breakdown for news coverage or other significant coverage in independent, reliable, secondary sources. In a world dominated by patriarchy, would you expect 51% of coverage to be about women? I would not; our societies have more progress to make in ensuring that the potential contributions of all people are valued and available. – 530:. But a large p-value on the Kruskal–Wallis test is not itself sufficient to conclude that the distributions being compared are the same. (The documentation for the software the authors use says as much.) Indeed, per their figure 2, the difference in sample medians between kept and deleted biographies for BIPOC women was even larger than that for white men. The apparent differences in the statistics across these groups may be due, in whole or in part, to the large variations in sample sizes: 419 white men, but only 185 white women, 171 BIPOC men, and 69 BIPOC women. 2768:, which means "lacking due thought or consideration". I can't see how this stands up, so seems to me more of an unsupported attack on the quality of their work. "Knowledge (XXG) suffers from severe bias problems" is certainly possible, but I would firmly dispute that AfD isn't policy driven. AfD is one of the most policy-backed fora on the entire site. While I'd appreciate a response now, I'd also be interested to see if your views remain unchanged after you've expanded your AfD experience set further, as you appear to be just starting into. 1033:"We present a transformer-based model, ParaGraph, which, given a Wikidata entity as input, retrieves its corresponding Knowledge (XXG) section. To perform this task, ParaGraph first generates an entity summary and compares it to sections to select an initial set of candidates. The candidates are then ranked using additional information from the entity’s textual description and contextual information. Our experimental results show that ParaGraph achieves 87% Hits@10 when ranking Knowledge (XXG) sections given a Wikidata entity as input. 895:
and conspiracy theories also mean that it is a bad place for social change to begin. The encyclopedia can only be as non-sexist as the least sexist institution. The question of which articles should exist and what they should say is a question of content moderation at scale, a task that is "impossible to do well". The failure modes of Knowledge (XXG)'s written rules and subcultural practices deserve study. But ill-conceived studies can lead to ill-conceived advocacy that makes real problems no easier to solve.
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citation metrics or other indicators. Emeritus professors are likely to have done more than assistant professors. Adams et al.'s data is from October 2016 and may be outdated in various aspects, which it is beyond the scope of this comment to determine. Perhaps worth noting in this context, however, is their tentative conclusion that "pages about women were not more likely to be deleted than pages about men" and "the main story is that women are less likely to appear in the first place".
110: 130: 2254: 90: 1007:"The present work aims to assess how well Wikidata (WD) supports the trust decision process implied when using its data. WD provides several mechanisms that can support this trust decision, and our KG Profiling, based on WD claims and schema, elaborates an analysis of how multiple points of view, controversies, and potentially incomplete or incongruent content are presented and represented." 120: 2674:
methodologically flawed beyond repair. Knowledge (XXG)'s coverage of minority populations evidently isn't where it should be if we are to live up to our ideals, but a paper with that premise can still go so far astray from how things actually happen here that it enters the empyrean level of confident wrongness more typically associated with ChatGPT and men at cocktail parties.
36: 140: 820:). At the times of their respective AfD's, Killick had possessed a PhD for roughly six years, and DeYoung had possessed his for roughly thirteen. Without making any suppositions about the worth of their research on some notional absolute scale of intellectual achievement, it is safe to say that these AfD's were not for individuals at "similar" stages of their careers. 100: 696:"non-academics," they score all biographies thereof with a 0 on their career-stage scale, regardless of the subject's actual career stage. For example, a graduate student at a university would be scored the same as a senior research scientist at a major corporation. Upon these meaningless numbers, Lemieux et al. then do bad arithmetic, computing an 150: 303:, Lemieux et al. observe that it was put up for deletion a mere two days after its creation. They write, "Eventually, her page received a “snow keep” decision, indicating that her notability might be questionable but that deleting her page would be too much of an uphill battle to pursue (WP:SNOW)." This is not the meaning of 899:
discouraging sign), but pass through they did. The problems are too pervasive to be addressed by an erratum or an expression of concern. The literature on the important subject of systemic bias in Knowledge (XXG) would be best served by a retraction and a careful re-examination of the editorial process.
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The selective quoting in the paper is so precisely selective in every single instance in order to omit actual statements of substance about notability from those being quoted that I can't help but think it was entirely purposeful by Lemieux et al. in order to farm quotes that present a viewpoint that
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It really isn't. The errors described are catastrophic, along with a touch of nonsensical fake-math from people who don't know statistics. Your user page says you're interested in Australian law - imagine reading a paper with a conclusion you agree with, but the argument cites the 19th century Code
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You could absolutely have a really good piece of research talking about whether the !votes people make execute the letter & spirit of the notability policies - but where the paper makes comparisons they do so to clearly incorrect statements of wikipedia policy, rendering them meaningless. I would
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This mapping between Knowledge (XXG) and Wikidata is beneficial for both projects. On the one hand, it facilitates information extraction and standardization of Knowledge (XXG) articles across languages, which can benefit from the standard structure and values of their Wikidata counterpart, e.g., for
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Even if we set aside the concerns about the basic premises, a problem with the analysis remains. Suppose, for the sake of the argument, that we grant that the "Primer Index" measures something of interest. Lemieux et al. write that white males whose biographies were kept rated significantly higher on
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to engage in quote mining (the full quotes would give everything they needed), they wouldn't need to raise the idea that AfDs are biased for occurring and leave out they were closed for sexism in less than a couple of hours, and in particular they wouldn't need to make their own flagrantly incorrect
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this reasoning would seem to indicate that no paper should receive detailed criticism for its failings so long as it raises an overall issue of importance. Do you believe that specific criticisms raised in this article are incorrect? How does their being raised undermine the overall desire to combat
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This blithe and dismissive take on a well-established and important issue is unfortunate. It may be fair to criticise some of the methodology of their study, but the arguments in response to their criticisms presented above are specious. It would be far better to acknowledge that Knowledge (XXG) has
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To confirm the validity of the “Primer Index,” we also created a "Google Index" to approximate the total number of hits that appear when an academic's full name and occupation are searched on Google. Using a custom Google Sheets code, we extracted an academic's full name and occupation from Wikidata
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merely explains some uses of search engines and some reasons why their results must be treated with caution. It explicitly states, "A raw hit count should never be relied upon to prove notability", and it provides multiple reasons why. Checking the discussions in which it is invoked is illuminating.
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can be useful in determining how common or well-known a particular topic is, a large number of hits on a search engine is no guarantee that the subject is suitable for inclusion in Knowledge (XXG). Similarly, a lack of search engine hits may only indicate that the topic is highly specialized or not
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some degree of systemic bias in our handling of notability. I think there is absolutely a conversation to be had there. But we cannot reasonably have that conversation when the facts have been so badly muddied that essays are being described as guidelines and the search engine test is being held up
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There's plenty of sources that discuss the problem of systemic bias on Knowledge (XXG). But, this paper is worthless for determining its extent, nature, and causes, because its methodology is wrong. Most people would agree that there are issues of bias in, say, the criminal justice system, but an
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but always note citing any of the above with no explanation can be weighed lower than explanations made. The study seems to really not go into the meat of AfD discussions where discussion is always considered more important than people simply stating essays, policies, or guidelines. There's a tally
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Whatever revolutionary claims have been made on its behalf, Knowledge (XXG) has a fundamentally institutionalist character. It layers on top of existing academic and journalistic systems of legitimacy. The same rhetorical fences that keep Knowledge (XXG) from being a toxic waste dump of advertising
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was viewed 12,675 times, an order of magnitude more than the page that Lemieux et al. say is commonly used. As of this writing, 8,297 other pages link to the WP:PROF guideline, while only 1,090 link to the search engine test page, though according to Lemieux et al. the latter is what applies to any
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I find it weird for a publication to present views of some importance when they can be manipulated. The Google search is more of a litmus test and never was a set guideline. The publication finding out should have been mentioned as a positive because we don't look at the info that SEO could easily
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Without going into a whole list of pet peeves I have with the gender data on Wikidata, I will say it would be useful to query for the age of the subject at the time of item creation with the same moment recorded for each specific Knowledge (XXG) project with an actual article (minus any redirects)
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is a statement that the conclusion of a discussion is already obvious: the chance of its changing direction is the proverbial snowball's chance in hell, and letting it run for a deletion debate's typical period of a full week would be a waste of everyone's time. The conclusion is not that Bouman's
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they look at?). It's the end of the semester for me, so what with the usual obligations I haven't much spare time or energy. And writing about this isn't simple, on account of the tough balancing act: the problem of systemic bias is obviously important, but a specific paper about it can still be
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found that Wikidata editors are likely to over sample male-dominated professions such as American football and baseball, thus contributing to the general predominance of items representing men over items representing women. Our analysis that focused on a set of academic professions show that the
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articles are not assessed based on the number of search results that come up after Googling them. For obvious reasons, this is a poor criteri as you may get tens of thousands of results for inconsequential searches, and some noteworthy topics may not receive a particularly large amount of search
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ince the article quotes me as invoking TOOSOON, perhaps I should explain what I generally mean by it. It is never the actual reason for a delete opinion, at least from me. In the cases under discussion, my choices are always grounded in notability guidelines and policies, not essays. When I use
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It's always interesting to read about Knowledge (XXG) policies. I myself was unfamiliar with TOOSOON, but it made me chuckle. Just to check, I ran a Wikidata query for the human genders male and female with sitelinks on English Knowledge (XXG) who were born after 01-01-2000. Of a total of 9049
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indicates that there is no one-week span that could match. Instead, it was deleted once in February 2019 and twice in April, before being incubated as a draft page and then restored for good in February 2020. The cause of diversity on Knowledge (XXG) is a marathon, not a sprint; the inaccurate
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The Adams et al. paper only studies sociologists, and so whether its conclusions generalize further across academia is an open question. They report (Table 3) a correlation between career stage and the probability of having a Knowledge (XXG) page, but they do not disentangle career stage from
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This discussion is unproductive at this point. Obviously I don't have empirical evidence and am running off anecdotal experience like everyone else here. The article's conclusions ring true to me. Selective enforcement of policy can create bias, even if the policy itself is unbiased. This is
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piece of academic writing. Hopefully Lemieux et al will read it and respond to just how so many flaws made it through. Though if I had to guess, they'll find a single line they can take out of context and use that to suggest the entire thing is clearly flawed. But we will see, and it doesn't
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academics and are evaluated as such. They often fall short of notability, not because of the label "student", but because students infrequently stand out by the criteria that are actually relied upon. Because Lemieux et al. erroneously believe that Knowledge (XXG) regards all these people as
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in some Knowledge (XXG) languages. Currently I have no way to measure that. On the whole, I don't think studying AfD data is very useful for gender issues, but possibly it is for occupational issues (controversial (garage bands), new (vloggers) or individual-based (artists) and so forth).
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Lemieux et al. misrepresent Knowledge (XXG) policies, guidelines, and essays; the content of deletion debates; news reporting; and the prior academic literature. How these errors could have transpired is, in a word, baffling. How they passed through peer review is likewise a puzzle (and a
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The evident limitations of the "Google Index" are, in fact, an excellent indication of why a guideline like WP:PROF is necessary. Any search of the form "full name + occupation" will omit, or at best provide a paucity of hits from within books, the text of paywalled journal articles, and
2218:. The concerns about confounding factors raised there are echoed here. For example, newly-created articles might be scrutinized more closely; articles begun by well-meaning novices might be more likely to be nominated for deletion in good faith, even if they turn out salvageable. 2480:
about the subject. If you could query that data and cross-reference it per Knowledge (XXG) language you could get some more specific information about gender bias on Knowledge (XXG). My gut feeling for women in sports is that we have a large quantity of women thanks only to the
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Applying a combination of web-scraping, deep learning, natural language processing, and qualitative analysis to pages of academics nominated for deletion on Knowledge (XXG), we demonstrate how Knowledge (XXG)’s notability guidelines are unequally applied across race and gender.
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The March 2023 paper "'Too Soon' to count? How gender and race cloud notability considerations on Knowledge (XXG)", by Lemieux, Zhang, and Tripodi claims to have unearthed quantitative evidence for gender and race biases in English Knowledge (XXG)'s article deletion processes:
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well-established systemic biases and then we can figure out why that is the case. To refer to policy obfuscates from how that policy plays out in practice; and I think that most honest editors would willingly acknowledge that Knowledge (XXG) suffers from severe bias problems.
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For academic biographies on Knowledge (XXG), notability is achieved through the significant impact of one's scholarly work on society, the winning of prestigious academic awards, or the holding of important leadership positions at an academic institution or academic journal
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I revisited that query I ran because I doubted the 30% and indeed the number is less than 30%. It occurred to me that my earlier query ran rather quickly and this was because I queried those born on 2000-01-01 and not after 2000-01-01. When I correct it I get timeouts, but
569: 598:: “Most of the newspaper articles cited in the main article are not directly related to the subject, and apart from this brief article in the Dainik Jagran that borders on being a hagiography of the subject, there's no real coverage for WP:GNG. WP:Too soon perhaps.” 2356:
humans, women represent 30%. Either it's been too soon for their articles to get Wikidata items that include their gender, or it's too soon for them to have an article, but women up to age 23 are still underrepresented on English Knowledge (XXG) by a large margin.
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subject, not just the niche domain of academic biographies. If the goal is to determine whether or not Knowledge (XXG)'s self-proclaimed standards are being applied equitably, then the evaluation should consider the standards that are actually being proclaimed.
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and found that neither was met; citation counts were low, no other academic notability criteria could be argued for, and the sources about her were unreliably published. This data point appears to be more an indictment of the "Primer Index" than anything else.
655:, with assistant professors being scored as 1, associate professors with 2, and so on. This methodology is flawed from the outset. It confuses correlation with contingency: one cannot neglect citation metrics and the other success indicators described in 2510:, for exposing the shortcomings of the abysmally bad paper by Mackenzie Lemieux, Rebecca Zhang and Francesca Tripodi about Knowledge (XXG) procedures for assessing the notability of scholars and researchers that was recently published in the journal 838:
was not met, but the article was recreated in July 2020 without complaint. Foster did not join San Francisco State University until 2020, at which point she was named one of the George and Judy Marcus Endowed Chairs, so the argument for her passing
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However, this is making a manifestly and indefensibly incorrect claim about how Knowledge (XXG) editors judge topics for notability. Also, the paper attempts to back it up with misleading quotations and numbers that are dubious on multiple levels.
2428:(toggle manually for gender) for births between 2000 and 2010 will return 9705 females and 26672 males so 9705/(9705+26672)=27%, not 30%. This query runs towards the time limit for each gender, which is about right for English Knowledge (XXG). 2942:
Napoleon as if it were Australian law, and thinks that Ned Kelly was Prime Minister of Australia. Maybe the conclusion is correct, but the paper is still worthless. The authors clearly never ran their draft past an experienced Wikipedian.
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In fairness, this was written in response to Lemieux et al., but it is also a natural implication of the everyday meaning of the phrase "too soon": not now, but maybe later. For an example of this involving David Eppstein and others, see
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Obviously that doesn't speak directly to possible gender biases on Knowledge (XXG) instead of Wikidata, but it is still interesting e.g. because of similarities in the editor populations that people often like to draw quick conclusions
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In the time since that AfD, the book mentioned in it has accumulated additional reviews. In the present circumstances, the biography of the author might be refactored into a page about the book, rather than deleted. Compare, e.g.,
929:), and is organized by members of the Wikimedia Foundation's research team with other collaborators including academics Francesca Tripodi (University of North Carolina) and Robert West (EPFL). Registration is free and subject to a 2913:
analysis paper on such bias that was based around, say, the magazines left in the police station waiting room rather than the briefings & trainings the police chief gave to the officers would be too nonsensical to be useful.
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as an example of How Notability Works. If your factual information is that poor, then just about the only thing you've told us is that there is systemic bias, somewhere, maybe, which I imagine most of us probably already knew. --
2100:. These are each evaluated in different ways, as the guideline details. Of the sources cited for this point, Matei and Dobrescu do not discuss any notability guideline at all. Gauthier and Sawchuk and Luo et al. discuss the page 2533:
Great read. One minor thing I think might discourage people from sharing it outside Knowledge (XXG) is the use of the jargon "!voter" and "!vote". They're probably better replaced with "participant" and "comment" or the like.
881:. While its existence was indeed contentious, that specific claim is not in the cited source, or in the source upon which that website relied. Examining the deletion log for the article and the "article milestones" list at 593:
First, let us illustrate the usage of WP:Too soon per Knowledge (XXG) guidelines. The following excerpt is from the AfD for the biography of a white, male, assistant professor who was nominated for deletion under the tag
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This is related to, but more specialized than, the everyday idea of "noteworthiness". Notability is evaluated with the aid of various guidelines that codify community norms and experience, prominent among which is the
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obviously true and those who dispute that as occurring on Knowledge (XXG) just aren't paying close enough attention IMO. I suppose you need to wait for an empirical study to be convinced. You may be waiting a while.
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The Irish Times reference is an opinion piece of which Killick's name is only mentioned once among many, many other names. I cannot locate any significant coverage from reliable sources that indicate notability.
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is not the means by which notability is evaluated; instead, invoking it is a means of speculating about the background of why the actual notability guideline is not met and noting that the situation may change.
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That's a lot to assume. People will quote essays, policies, and guidelines in AfD discussions to get the ball rolling on discussion. Note that essays and guidelines are not policies. Sometimes people point to
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are the opinion or advice of an editor or group of editors for which widespread consensus has not been established. They do not speak for the entire community and may be created and written without approval.
502:. Because the "Primer Index" and "Google Index" are completely unmoored from Knowledge (XXG) practice, there is no reason to equate passing some threshold of them with meeting "Knowledge (XXG)'s criteria". 2298: 2806:
study about the outcomes of said policy. No one claims Knowledge (XXG)’s policies are on their face biased; the core of the piece is what happens in practice with the implementation of said policies.
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Despite the academic being an assistant professor, the moderator focused on media coverage, not the career stage, of the subject which is in accordance with the Knowledge (XXG) guidelines of the tag
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Another example is the late Sudha Shenoy, an economist and professor of economic history at the University of Newcastle, Australia, who had a high Primer Index of 198 yet her page was also deleted.
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that had been started there at the beginning of April. (I myself only read the paper this past weekend, in the context of reviewing XOR'easter's Signpost submission, and subsequently contributed
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observed that the proportion of Wikidata items about women ranges between 0.2 and 0.25 for birth years 1950 to 1990 and has increased steadily since then, reaching 0.4178 for the 2000 birth year.
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For example, Tonya Foster, a professor of creative writing and Black feminist scholar at San Francisco State University had a high Primer Index of 41 yet her Knowledge (XXG) page was deleted.
700:. Career stage is a qualitative or categorical variable, so taking the numerical mean is not likely to be indicative. What job is 0.76 of the way between assistant and associate professor? 2283: 939:
is a newly launched French-language newsletter by Wikimedians-in-residence at French universities, covering research alongside open science and the use of Wikimedia projects in education.
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is an essay, not a guideline and certainly not a policy. It is largely a collection of pointers to other documentation pages with some commentary. The gist is given in the first section:
2271: 409:. Despite its supposed convenience and commonality, they provide no examples where it is actually invoked by name. Any attempt to find such examples, or even a cursory inspection of the 434: 663:
judgment is if the subject has attained the named chair/Distinguished Professor level, because these indicate high levels of accomplishment. Lemieux et al. confuse both the status of
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are sets of best practices supported by consensus. Editors should attempt to follow guidelines, though they are best treated with common sense, and occasional exceptions may apply.
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Other recent publications that could not be covered in time for this issue include the items listed below. Contributions, whether reviewing or summarizing newly published research,
1990:"I've Made More Than 1,700 Knowledge (XXG) Entries on Women Scientists and I'm Not Yet Done: British scientist Jessica Wade has made one Knowledge (XXG) entry every day since 2017" 2514:. I hope that we shall see a response by Lemieux, Zhang and Tripodi to the many allegations of inaccuracy and misrepresentation that exist in the paper. The editor of the journal 2265: 55: 44: 721: 783:
explicitly exclude student awards. Merely having written a few review papers is inadequate for notability; the papers need to be heavily cited, and here they appear not to be.
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the explanatory intro that quotes from the paper). On the other hand, it seems that some credit for identifying issues in the paper should also go to other participants in
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The original was even longer than this version and included more background for people coming to the topic without experience in Knowledge (XXG) behind-the-scenes stuff.
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Since perceived notability among academics is highly contingent on their rank (Adams et al., 2019; WP:Notability (academics)), academic careers were scored based on stage
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Lemieux, Mackenzie; Zhang, Rebecca; Tripodi, Francesca (March 29, 2023). ""Too Soon" to count? How gender and race cloud notability considerations on Knowledge (XXG)".
554:“Too Soon” is a technical label developed by Wikipedians indicating that a subject lacks sufficient coverage in independent, high-quality news sources to have a page. 515: 500:
our data indicate that BIPOC biographies who meet Knowledge (XXG)'s criteria (i.e., above the White Male Keep median Primer Index of 12.00) were among those deleted
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I have looked at some of your AfD comments and you don't even provide Knowledge (XXG) policy for your reasons. It's really a blunder what you're going on about. –
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Sometimes, a topic may appear obviously notable to you, but there may not be enough independent coverage of it to confirm that. In such cases, it may simply be
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did something very similar, just without the restriction to Knowledge (XXG) sitelinks (i.e. examined gender gaps on Wikidata instead of Knowledge (XXG)). They
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Adams, Julia; BrĂŒckner, Hannah; Naslund, Cambria (2019). "Who Counts as a Notable Sociologist on Knowledge (XXG)? Gender, Race, and the "Professor Test"".
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Luo, Wei; Adams, Julia; Brueckner, Hannah (2018-08-30). "The Ladies Vanish? American Sociology and the Genealogy of its Missing Women on Knowledge (XXG)".
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Of the more than 1.5 million biographies about notable writers, inventors, and academics on English-language Knowledge (XXG), less than 20% are about women
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when talking about how academic-biography AfD's evaluate career status. The only time that "career stage" as Lemieux et al. think of it factors into a
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was not used in the nomination. Instead, the nominator stated that Ranjan failed the GNG. The !voter being quoted began their rationale by saying that
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at the end is that the !voter believed Ranjan's situation could change in the future. Further examples of misleading quotation will be noted below.
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This is a significant omission, since it removes the actual reason the editor gave for believing the article should be deleted. Moreover, that AfD
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From what I recall from research I did on this few years back, the more recent the time range considered, the less women are underprepresented. --
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says nothing specifically about academic career stages. Most of it is about movies. The only profession that is specifically discussed is acting.
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There was no statistically significant difference in the median Primer Index between kept and deleted pages for white women or for BIPOC academics
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How can the social sciences benefit from knowledge graphs? A case study on using Wikidata and Knowledge (XXG) to examine the world’s billionaires
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got significantly stronger. The AfD process can hardly be faulted for failing to consider evidence that would not exist for another three years.
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is most likely independent, secondary, and reliable, but they are not news. Not only do Lemieux et al. drastically oversell the importance of
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policy driven. Which I believe is the whole point of this piece. It’s unsurprising that editors are keen to dismiss these critiques of hand.
2656: 580:, they fail to summarize its contents accurately. It is puzzling how anyone would come to believe that "too soon" means anything other than 348: 2051:
A manual survey of 100 random biographies found only 25 that could meet those criteria, and this casts a net more widely than the remit of
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At this juncture, see again the cautionary words of "Search engine test" itself, and the more popular link for making the same point, the
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timeline and the omission of the eventual success make for a misleading portrayal of the challenge that is of no help in resolving it.
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but do not mention the existence of a guideline specialized to scholars and academics, despite its relevance to their subject matter.
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It is hardly "technical": the meaning is an example of the everyday sense of the phrase. Moreover, the language of the essay is not
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and automatically searched Google for every instance of “full name + occupation” for each academic in our dataset on the same day.
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Policies, guidelines, and essays are, in Knowledge (XXG) jargon, different types of behind-the-scenes documents. The terms denote
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the Primer Index than those whose biographies were deleted. They compare the median Primer Indices of these two groups using the
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about the actual practice. Otherwise it wouldn't spend large periods of time talking about non-policies/guidelines, it wouldn't
1496: 1584: 462: 455: 451: 441: 429: 418: 410: 402: 382: 1989: 522:. In contrast, the p-values for white women, for BIPOC men, and for BIPOC women were all large. Lemieux et al conclude that 1962: 2978: 591:", the area in which deletion debates about articles occur. Lemieux et al. follow this usage, and so shall this comment. 565: 366: 187:
A monthly overview of recent academic research about Knowledge (XXG) and other Wikimedia projects, also published as the
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item and the other a webpage at the Smithsonian, and it linked to those two sources a total of seven times. The article
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average career stage by calculating the sum of the career stage scores and dividing this by the total number of entries
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Excellent work. I would encourage you to submit the longer version for publication in a scholarly journal (perhaps in
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gender distribution of Wikidata is no more biased than real world notability judgments in either coverage or quality.
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Matei, S. A.; Dobrescu, C. (2011). "Knowledge (XXG)'s "Neutral Point of View": Settling Conflict through Ambiguity".
816:"similar" to a postdoc who coauthored a respectable but unremarkable number of papers (no more than 10, according to 550:
Lemieux et al. emphasize this page from their title onward, but most of what they have to say about it is misguided.
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On English Knowledge (XXG), the status of being significant enough to warrant an article is, in the community lingo,
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using a metric they call the "Primer Index", after the software employed to calculate it. This metric is based upon
953: 584:. How, one wonders, would Knowledge (XXG) editors then describe topics that look like they will never be notable? 1216: 2888:
I thought we were discussing this article. Feel free to chime in over on AfD if you have constructive feedback.
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a convenient and common way editors can determine probable notability before nominating a biography for deletion
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sway. We look at more specific guidelines from GNG for people in their fields because it should make sense. –
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page itself, would reveal the truth: their description of it is completely erroneous. Lemieux et al. claim to
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about the authors' misinterpretation of p-values in one of their central quantitative conclusions.) Regards,
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a significant impact in the area of higher education, affecting a substantial number of academic institutions
3022: 1123:"Towards a Digital Reflexive Sociology: Using Knowledge (XXG)'s Biographical Repository as a Reflexive Tool" 973:"Towards a Digital Reflexive Sociology: Using Knowledge (XXG)'s Biographical Repository as a Reflexive Tool" 498:
This supposed confirmation rests on no foundation at all. Having made this claim, Lemieux et al. write that
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Tripodi, Francesca (2021-06-27). "Ms. Categorized: Gender, notability, and inequality on Knowledge (XXG)".
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is invited to explain how this egregiously erroneous paper got through the journal’s peer review process.
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That's funnny! I myself was surprised it was as high as 30% and can only conclude this is thanks to the
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Gauthier, Maude; Sawchuk, Kim (2017). "Not notable enough: feminism and expertise in Knowledge (XXG)".
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Knowledge (XXG) does not count trainees, research scientists, and/or government workers as “academics”
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evidence of the scale of incorrect !votes due to biased interpretations that you say are occurring.
706:, a computer-science professor, is a longtime participant in academic-bio AfD's and a member of the 672: 668: 641: 625: 605: 2396: 1967: 882: 835: 477:
A central assertion of Lemieux et al. is that they quantified whether the "Search engine test" is
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has exactly the opposite meaning as Lemieux et al. make it out to have. This misrepresentation of
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These examples from AfD discussions all failed to mention the presence or depth of media coverage
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received a median of 106 views per month over the year prior to this writing, versus 11,924 for
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Tiny citations on GS do not pass WP:Prof and lack of independent in-depth sources fails WP:GNG.
671:(guideline versus essay) and the logical roles those pages play in the very !votes they quote. 103: 3007: 2973: 2490: 2433: 2414: 2377: 2361: 2330: 1708: 1138: 123: 2097: 2085: 2074: 2070: 2052: 862: 840: 780: 688: 664: 660: 656: 620: 616: 470: 428:. The page contains no such procedure. As observed above, none exists, or ever should exist. 308: 257: 2842: 2769: 2675: 2632: 2567: 2552: 2539: 2503: 1912: 1796: 1755: 1700: 1652: 1617: 1344: 1310: 1276: 1130: 1096: 1063: 805: 206: 163: 1908:"Knowledge (XXG)'s Refusal to Profile a Black Female Scientist Shows Its Diversity Problem" 866: 710:
project which aims to improve Knowledge (XXG)'s biographical coverage of women. He writes,
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on May 11th, 2023. The virtual event is the tenth in this annual series (formerly part of
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is not an accurate predictor of Knowledge (XXG) persistence for female and BIPOC academics
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the number of times that an individual is mentioned in a news article and in which context
1963:"She's made 1,750 Knowledge (XXG) bios for women scientists who haven't gotten their due" 1886: 619:). Most of the !vote is a point-by-point explanation of why the editor believes that the 153: 30:
Gender, race and notability in deletion discussions: And other new research publications.
2601: 2470: 2392: 2017:"Masnick's Impossibility Theorem: Content Moderation At Scale Is Impossible To Do Well" 1501: 874: 817: 703: 485:, which evidently is at best an indirect perspective upon any of the WP:PROF criteria. 242: 199:"How gender and race cloud notability considerations on Knowledge (XXG)" – or do they? 3088: 2943: 2928: 2914: 2889: 2871: 2857: 2821: 2807: 2787: 2758: 2735: 2714: 2695: 1891: 1807: 1718: 1628: 1321: 1107: 1074: 283:
Avoid criteria based on search engine statistics (e.g., Google hits or Alexa ranking)
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bias? I also would like you to expand upon your indication of XOR's response being
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Filip Ilievski, Kartik Shenoy, Hans Chalupsky, Nicholas Klein and Pedro Szekely:
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Lemieux et al. mention the drama surrounding the article about nuclear chemist
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As to its commonality, the numbers are stark enough to be indicative. The page
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it’s not a very strong critique to point to ostensible policies to dismiss an
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For the meaninglessness of applying averages to ordinal variables, see, e.g.,
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also occurs in Tripodi's earlier paper, but it is more prominent in this one.
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And if we didn't know, we sure aren't going to be convinced by reading that.
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supports the claims of the paper itself. Pretty disgraceful, if you ask me.
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than others. Think of pop psychology versus pure mathematics, for example.)
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Ostapuk, Natalia; Difallah, Djellel; Cudré-Mauroux, Philippe (2022-11-25),
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have wide acceptance among editors and describe standards all users should
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The sentence immediately after the blockquote that includes snippets from
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the specialized guideline applicable to scholars, academics, and educators
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has, contrary to Tripodi's statement, never been nominated for deletion.
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purported significance is easily verifiable using the search engine test
1887:"Knowledge (XXG) just won't let this Black female scientist's page stay" 1663: 519: 326:
Jealous bros should not cry each time a woman is part of an achievement
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the documentation page for "Arguments to avoid in deletion discussions"
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but it's always been a very rough estimate. The criticism is valid. –
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links to seven credible sources independent of the subject, including
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collected the career stages of each individual designated WP:Too soon
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was viewed 1,190 times over the year prior to this writing. The page
444:. Instead, articles should be assessed based on the criteria such as 295:
Misrepresentation of Knowledge (XXG) policies, guidelines, and essays
273: 1656: 1242: 853:, she was a "lecturer" at Newcastle, and "lecturer" in Australia is 779:
The only form of notability claimed in the article is academic, but
2170:. 1,664,013 pages link to the latter, and 1,393 link to the former. 1235:
In: 2022 IEEE International Conference on Big Data, BigData, 2022.
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Matching non-notable Wikidata "orphans" to Knowledge (XXG) sections
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notability was "questionable", but rather that it was obvious. The
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also began with a rationale that Lemieux et al. do not reproduce:
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guideline. The latter phrasing is more general than the former. A
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In their literature review, Lemieux et al. state incorrectly that
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Notability is not based on counting raw search-engine results. As
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Wilson, Thomas P. (March 1971). "Critique of ordinal variables".
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The problems begin early in the paper. Referring to the article
2627:" means, but that got cut when bringing the column over to the 2137:
the main space. This draft did not contain, as Tripodi writes,
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Natalia Ostapuk, Djellel Difallah, and Philippe Cudré-Mauroux.
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Thanks! Just to clarify though, the text is all XOR'easter's (
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Knowledge (XXG):Articles for deletion/Aaron Fox (musicologist)
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lists separately, in a way that may obscure how they operate.
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Our dataset revealed that men at similar early career stages
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Tilman Bayer's 25 July 2021 "Recent research" column in the
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is literally one of the arguments we tell everyone to avoid.
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Shit like this is exactly why en.wp is such a sausage party
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Semantic Web – Interoperability, Usability, Applicability
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Semantic Web – Interoperability, Usability, Applicability
764:) The third quote is also truncated; the original is from 1213:
Semantic Web – Interoperability, Usability, Applicability
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Misrepresentation of career status and other AfD aspects
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Knowledge (XXG):Articles for deletion/Charles Steinhardt
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are misleadingly presented. Two of the three are from
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Veronica Santos, Daniel Schwabe and SĂ©rgio Lifschitz
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Knowledge (XXG):Articles for deletion/Daisy Deomampo
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Lemieux et al. write that the "Search Engine Test" (
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metrics used to assess notability on Knowledge (XXG)
2344:If your comment has not appeared here, you can try 71:
Gender, race and notability in deletion discussions
2566:undermine the quality of this piece. With thanks, 1363:"Lois K. Alexander Lane, version of 19 March 2016" 738:Knowledge (XXG):Articles for deletion/Kate Killick 3021:Great review article, kudos to the contributors 2200:Knowledge (XXG):Articles for deletion/Alam Saleh 2113:Tripodi's description of a case where a woman's 1121:BeytĂ­a, Pablo; MĂŒller, Hans-Peter (2022-09-15). 623:criteria are not met. The plain reading of the 879:was deleted three times in the span of one week 324:found the nomination sexist, either in intent ( 1244:Wikidata dump extension (enwiki section links) 318:one hour and seventeen minutes after it began. 252:. Also of relevance for the matter at hand is 1086: 1084: 442:Knowledge (XXG):Search_engine_test#Notability 8: 2590:the discussion at the Women in Red talk page 1948:"Clarice Phelps: version of 7 February 2020" 915:for videos and slides of past presentations. 610:there is no evidence that the subject meets 2094:outside academia in their academic capacity 1497:"Interpreting results: Kruskal–Wallis test" 1303:Communication and Critical/Cultural Studies 1012:"A Study of Concept Similarity in Wikidata" 740:. One of the !votes quoted actually began, 615:(another pointer to the same guideline as 345:not about writers, inventors, or academics 3095:Knowledge (XXG) Signpost archives 2023-05 2162:To the point about importance, note that 2092:. And influence within society at large, 1209:A Study of Concept Similarity in Wikidata 339:. There are over 1.5 million biographies 2960:Personally, I would be shocked if there 2663:the Women in Red project discussion page 2069:. This conflates multiple criteria that 1449:"Knowledge (XXG):Notability (academics)" 1425:"Knowledge (XXG):Notability (academics)" 826:It is worth mentioning that the article 18:Knowledge (XXG):Knowledge (XXG) Signpost 2347: 2323: 2044: 1259: 1046: 754:the presence or depth of media coverage 518:and report that the test gives a small 277:generally sourceable via the internet. 70: 2457: 2453: 2138: 2126: 2114: 2093: 2089: 2078: 2065: 1813: 1765: 1724: 878: 855:a lower academic rank than a professor 846: 823: 797: 778: 769: 761: 756:, insofar as editors noted that there 753: 741: 733: 697: 680: 652: 648: 634: 624: 609: 592: 562:independent secondary reliable sources 561: 557: 553: 543: 527: 523: 499: 492:"Arguments to avoid" page quoted above 486: 482: 478: 438: 422: 414: 406: 390: 336: 329: 325: 314:deletion debate for Bouman's biography 256:, known by various abbreviations like 2833:statements of what various PAGs mean. 2619:, I explained about deletion debates 2374:Piotr Konieczny aka Prokonsul Piotrus 781:our standards for academic notability 687:work in industry and are notable per 423:a numerical proxy for each subject's 281:, for instance, specifically states, 29: 7: 1473:"Knowledge (XXG):Search engine test" 1377:"Knowledge (XXG):Search engine test" 600:The biography in question was for a 272:Although using a search engine like 2927:worthless is overstating the case. 2448:Thanks for contributing some data! 1820:: CS1 maint: untitled periodical ( 1772:: CS1 maint: untitled periodical ( 1731:: CS1 maint: untitled periodical ( 587:The initialism "AfD" is short for " 316:did not end "eventually". It ended 2145:. It contained two sources, one a 250:General Notability Guideline (GNG) 56: 28: 2329:These comments are automatically 2064:Later in the review, they write, 1928:"All public logs: Clarice Phelps" 1746:Sklansky, Jeffrey (Spring 2021). 830:does exist today. At the time of 526:, and thus that the Primer Index 2615:Thanks for the feedback! In the 1906:Jarvis, Claire L. (2019-04-26). 1147: 877:. They state that her biography 849:According to her profile at the 566:Knowledge (XXG):Reliable sources 564:, with a clarifying link to the 393:. Neither page is such a thing. 180: 148: 138: 128: 118: 108: 98: 88: 2506:, with editorial guidance from 1789:The Journal of Economic History 1165:Daria Tisch, Franziska Pradel: 647:Lemieux et al. state that they 2340:add the page to your watchlist 1885:Sadeque, Samira (2019-04-29). 1691:Roberts, Justin (2020-07-02). 812:had an h-index of 44. That is 1: 2561:- an excellent rebuttal of a 2081:in their scholarly discipline 1705:10.1080/0144039X.2020.1790769 1315:10.1080/14791420.2017.1386321 1029:From the abstract and paper: 381:Lemieux et al. describe both 189:Wikimedia Research Newsletter 2211:For related commentary, see 2127:pushed out of the main space 2015:Masnick, Mike (2019-11-20). 1561:"Knowledge (XXG):Notability" 1401:"Knowledge (XXG):Notability" 1281:10.1080/01972243.2011.534368 1135:10.1016/j.poetic.2022.101732 683:is flatly untrue. Plenty of 450:In other words, pointing to 1961:Page, Sidney (2022-10-17). 912:Wikimedia Research Showcase 802:present on Knowledge (XXG). 3111: 2824:But the core of the piece 2407:w:WikiProject Women in Red 1988:Khan, Arman (2022-11-18). 1787:Rhode, Paul (March 2020). 1585:"Knowledge (XXG):Too soon" 1537:"Knowledge (XXG):Too soon" 223:Specifically, the authors 1801:10.1017/S0022050720000029 1748:Journal of Social History 1349:10.1163/15691330-12341471 1101:10.1177/14614448211023772 1068:10.1177/20539517231165490 999:"Can you trust Wikidata?" 947:Other recent publications 834:, the consensus was that 3031:01:02, 18 May 2023 (UTC) 2495:07:54, 10 May 2023 (UTC) 2215:Knowledge (XXG) Signpost 1622:10.1177/2378023118823946 1255:Supplementary references 775:Another !vote they quote 540:Knowledge (XXG):Too soon 479:being equitably utilized 397:The "Search Engine Test" 3018:16:46, 8 May 2023 (UTC) 2998:08:38, 9 May 2023 (UTC) 2986:04:05, 9 May 2023 (UTC) 2952:12:50, 9 May 2023 (UTC) 2937:23:20, 8 May 2023 (UTC) 2923:19:51, 8 May 2023 (UTC) 2898:13:57, 9 May 2023 (UTC) 2884:12:55, 9 May 2023 (UTC) 2866:12:41, 9 May 2023 (UTC) 2851:12:05, 9 May 2023 (UTC) 2816:23:22, 8 May 2023 (UTC) 2796:23:19, 8 May 2023 (UTC) 2778:16:58, 8 May 2023 (UTC) 2748:16:46, 8 May 2023 (UTC) 2723:15:10, 8 May 2023 (UTC) 2708:13:22, 8 May 2023 (UTC) 2684:16:32, 8 May 2023 (UTC) 2657:16:11, 8 May 2023 (UTC) 2641:12:19, 8 May 2023 (UTC) 2606:18:01, 8 May 2023 (UTC) 2576:09:51, 8 May 2023 (UTC) 2544:09:13, 8 May 2023 (UTC) 2528:08:52, 8 May 2023 (UTC) 2482:wp:WikiProject Olympics 2475:17:44, 8 May 2023 (UTC) 2438:09:43, 9 May 2023 (UTC) 2419:07:04, 9 May 2023 (UTC) 2401:17:38, 8 May 2023 (UTC) 2384:08:27, 8 May 2023 (UTC) 2366:05:43, 8 May 2023 (UTC) 1693:Slavery & Abolition 1269:The Information Society 1188:Can you trust Wikidata? 1093:New Media & Society 732:The quotes given after 582:what it says on the tin 437:, a !voter admonished, 3043:looking for new talent 2647:Big Data & Society 2337:. To follow comments, 2257: 2151:Lois K. Alexander Lane 2123:Lois K. Alexander Lane 1056:Big Data & Society 1039: 1022: 1009: 996: 983: 919:Registrations are open 574:medical review article 548:to create the article. 534:The Titular "Too Soon" 292: 229: 221: 39: 2256: 1541:pageviews.wmcloud.org 1429:pageviews.wmcloud.org 1405:pageviews.wmcloud.org 1381:pageviews.wmcloud.org 1337:Comparative Sociology 1031: 1018: 1005: 992: 979: 931:WMF privacy statement 808:, who at the time of 589:Articles for deletion 463:WP:Search engine test 456:WP:Search engine test 452:WP:Search engine test 430:WP:Search engine test 425:online presence score 419:WP:Search engine test 411:WP:Search engine test 403:WP:Search engine test 383:WP:Search engine test 356:a descending sequence 269: 225: 216: 38: 2549:Really good read by 2512:Big data and society 2333:from this article's 2119:factually inaccurate 1016:From the abstract:: 937:"Infolettre wikil@b" 910:page of the monthly 604:. Moreover, the tag 570:mathematics textbook 307:. Instead, invoking 287:ancient Estonian god 267:succinctly puts it: 2245:"Recent research" → 2143:and the Smithsonian 2141:The Washington Post 2121:. The biography of 2079:significant impact 1968:The Washington Post 1003:From the abstract: 990:From the abstract: 977:From the abstract: 883:Talk:Clarice Phelps 516:Kruskal–Wallis test 343:; most of them are 305:the snowball clause 3023:CactiStaccingCrane 2594:these observations 2324:Discuss this story 2299:Arbitration report 2258: 2084:(emphasis added). 1760:10.1093/jsh/shz115 1589:xtools.wmflabs.org 1565:xtools.wmflabs.org 1477:xtools.wmflabs.org 1453:xtools.wmflabs.org 954:are always welcome 927:The Web Conference 923:Wiki Workshop 2023 794:the K. Killick AfD 45:← Back to Contents 40: 2348:purging the cache 2304:News from the WMF 2237:"Recent research" 1861:"Sudha R. Shenoy" 968: 804:Their example is 50:View Latest Issue 3102: 3079: 3015: 3010: 2996: 2994:Compassionate727 2981: 2976: 2971: 2880: 2874: 2762: 2744: 2738: 2704: 2698: 2655: 2653:Compassionate727 2617:original version 2560: 2380: 2351: 2349: 2343: 2322: 2294:Featured content 2276: 2268: 2261: 2244: 2236: 2219: 2209: 2203: 2187: 2181: 2177: 2171: 2160: 2154: 2111: 2105: 2062: 2056: 2049: 2033: 2032: 2030: 2029: 2012: 2006: 2005: 2003: 2002: 1985: 1979: 1978: 1976: 1975: 1958: 1952: 1951: 1944: 1938: 1937: 1935: 1934: 1924: 1918: 1917: 1903: 1897: 1896: 1882: 1876: 1875: 1873: 1872: 1857: 1851: 1850: 1848: 1847: 1832: 1826: 1825: 1819: 1811: 1784: 1778: 1777: 1771: 1763: 1743: 1737: 1736: 1730: 1722: 1688: 1682: 1681: 1674: 1668: 1667: 1639: 1633: 1632: 1605: 1599: 1598: 1596: 1595: 1581: 1575: 1574: 1572: 1571: 1557: 1551: 1550: 1548: 1547: 1533: 1527: 1526: 1519: 1513: 1512: 1510: 1509: 1493: 1487: 1486: 1484: 1483: 1469: 1463: 1462: 1460: 1459: 1445: 1439: 1438: 1436: 1435: 1421: 1415: 1414: 1412: 1411: 1397: 1391: 1390: 1388: 1387: 1373: 1367: 1366: 1359: 1353: 1352: 1332: 1326: 1325: 1298: 1292: 1291: 1264: 1249: 1248: 1229: 1223: 1205: 1199: 1184: 1178: 1163: 1157: 1152: 1151: 1145: 1118: 1112: 1111: 1088: 1079: 1078: 1051: 961: 806:Colin G. 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1953: 1939: 1919: 1898: 1877: 1867:. 20 June 2014 1852: 1827: 1795:(1): 293–294. 1779: 1754:(3): 973–975. 1738: 1699:(3): 686–688. 1683: 1669: 1651:(3): 432–444. 1634: 1600: 1576: 1552: 1528: 1514: 1502:GraphPad Prism 1488: 1464: 1440: 1416: 1392: 1368: 1354: 1343:(5): 519–556. 1327: 1309:(4): 385–402. 1293: 1258: 1256: 1253: 1251: 1250: 1224: 1200: 1179: 1158: 1113: 1080: 1045: 1043: 1040: 1026: 1023: 1013: 1010: 1000: 997: 987: 984: 974: 971: 970: 969: 948: 945: 943: 941: 940: 934: 916: 904: 901: 891: 888: 875:Clarice Phelps 818:Web of Science 789: 786: 768:and concluded 729: 726: 717: 716: 704:David Eppstein 535: 532: 398: 395: 379: 378: 296: 293: 291: 290: 237: 234: 211: 210: 200: 197: 195: 179: 178: 176: 174: 173: 157: 156: 146: 136: 126: 116: 106: 96: 85: 84: 81: 75: 74: 73: 72: 67: 66: 64: 61: 48: 43: 42: 33: 32: 27: 15: 14: 13: 10: 9: 6: 4: 3: 2: 3107: 3096: 3093: 3092: 3090: 3078: 3072: 3067: 3062: 3057: 3052: 3044: 3040: 3032: 3028: 3024: 3020: 3019: 3016: 3011: 2999: 2995: 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