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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003066naa a2200289 4500
001oai:prod.swepub.kib.ki.se:234041435
003SwePub
008240818s2021 | |||||||||||000 ||eng|
024a http://kipublications.ki.se/Default.aspx?queryparsed=id:2340414352 URI
024a https://doi.org/10.3389/frma.2021.5944242 DOI
040 a (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Andersson, ERu Karolinska Institutet4 aut
2451 0a Gender Bias Impacts Top-Merited Candidates
264 c 2021-05-10
264 1b Frontiers Media SA,c 2021
520 a Expectations of fair competition underlie the assumption that academia is a meritocracy. However, bias may reinforce gender inequality in peer review processes, unfairly eliminating outstanding individuals. Here, we ask whether applicant gender biases peer review in a country top ranked for gender equality. We analyzed peer review assessments for recruitment grants at a Swedish medical university, Karolinska Institutet (KI), during four consecutive years (2014–2017) for Assistant Professor (n = 207) and Senior Researcher (n = 153). We derived a composite bibliometric score to quantify applicant productivity and compared this score with subjective external (non-KI) peer reviewer scores of applicants' merits to test their association for men and women, separately. To determine whether there was gender segregation in research fields, we analyzed publication list MeSH terms, for men and women, and analyzed their overlap. There was no gendered MeSH topic segregation, yet men and women with equal merits are scored unequally by reviewers. Men receive external reviewer scores resulting in stronger associations (steeper slopes) between computed productivity and subjective external reviewer scores, meaning that peer reviewers “reward” men's productivity with proportional merit scores. However, women applying for assistant professor or senior researcher receive only 32 or 92% of the score men receive, respectively, for each additional composite bibliometric score point. As productivity increases, the differences in merit scores between men and women increases. Accumulating gender bias is thus quantifiable and impacts the highest tier of competition, the pool from which successful candidates are ultimately chosen. Track record can be computed, and granting organizations could therefore implement a computed track record as quality control to assess whether bias affects reviewer assessments.
700a Hagberg, CEu Karolinska Institutet4 aut
700a Hägg, Su Karolinska Institutet4 aut
710a Karolinska Institutet4 org
773t Frontiers in research metrics and analyticsd : Frontiers Media SAg 6, s. 594424-q 6<594424-x 2504-0537
856u https://www.frontiersin.org/articles/10.3389/frma.2021.594424/pdf
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:234041435
8564 8u https://doi.org/10.3389/frma.2021.594424

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Hägg, S
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