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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Gender Diversity and Inequality
Retraction
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,770 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,770 works in the cohort · of 4,299,418page 17 of 36

Labels cover 4 of 1,770 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,770 of 1,770 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Gender Bias In Scholarship
2006· book· en· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
4
citations
affunlabeled
Cultural differences and board gender diversity
Amélia Carrasco, Isabelle Réal, Joaquina Laffarga Briones, Emiliano Ruiz Barbadillo
2012· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Time to Talk About Race
Robbin Derry, Paul T. Harper, Gregory B. Fairchild
2024· article· en· Journal of Business Ethics· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Women in leadership
Monique Frize
2005· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Engineering: Women and Leadership
Corri Zoli, Shobha K Bhatia, Valerie Davidson, Kelly A. Rusch
2008· article· en· Synthesis lectures on engineers, technology, and society· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Appointing Women to Boards: Is There a Cultural Bias?
Amalia Carrasco Gallego, Claude Francœur, Réal Labelle, Joaquina Laffarga Briones, Emiliano Ruiz Barbadillo
2015· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Subtle Discrimination in the Workplace: A Vicious Cycle
Kristen P. Jones, Dave F. Arena, Christine Nittrouer, Natalya Alonso, Alex Lindsey
2017· book-chapter· en· RePEc: Research Papers in Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
afffundvenueunlabeled
GENDERED PATTERNS IN SENIOR ENGINEERS’ LEADERSHIP LEARNING
Emily Macdonald-Roach, Cindy Rottmann, Andrea Chan, Emily Moore
2020· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Gender Replay
2023· book· en· New York University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
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