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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.

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 Studies in Language
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
fundfunder
venuejournal
aboutaboutness

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

422 results · 1 filter active ·
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20002025
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Categories
Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
422 works in the cohort · of 4,299,418page 3 of 9

Labels cover 0 of 422 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 422 of 422 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.

affvenueaboutunlabeled
“What do they say in Quebec?”
Gabrielle Dumais
2021· article· en· Toronto Working Papers in Linguistics· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Optionality in bilingual native grammars
Sílvia Perpiñán
2013· book-chapter· en· Benjamins current topics· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Sociolinguistics
Gerard Van Herk
2015· book-chapter· en· Elsevier eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Tough on Kids
Ross Gordon Green, Kearney Healy
2003· book· en· University of British Columbia Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Queering the French Académie
Jordan J. Tudisco
2021· article· en· Toronto Working Papers in Linguistics· Social Sciences
machine prediction:candidate · stsconsensus · none
3
citations
affunlabeled
Disciplining women?
Carol Percy
2006· article· en· Historiographia Linguistica· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Writing by women
Coral Ann Howells
2004· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Language Education and Gender
Benedicta Egbo
2006· book-chapter· en· Elsevier eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Editorial
Ann Weatherall, Elizabeth Stokoe, Bonnie McElhinny
2011· editorial· en· Gender and Language· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About