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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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Sports, Gender, and Society
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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
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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.

2,012 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,012 works in the cohort · of 4,299,418page 37 of 41

Labels cover 5 of 2,012 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 2,012 of 2,012 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
The uses and abuses of the body in sport
2004· other· fr· OpenGrey (Institut de l'Information Scientifique et Technique)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
2017 05 24 Shayne Gauthier des Bombers de Winnipeg
2017· other· fr· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
List of Figures
2017· book-chapter· en· OpenEdition (OpenEdition)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Foreword: Sport and Oral History II
Carly Adams, Mike Cronin
2020· article· en· The International Journal of the History of Sport· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Sports et communication
2018· paratext· fr· Communiquer Revue de communication sociale et publique· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
CORNU CUTANEUM (Cutaneous Horn)
HENRY C.G. SEMON
2013· book-chapter· en· Elsevier eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
NASSH Timeline
Ronald A. Smith
2021· article· fr· Journal of Sport History· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
CORNU CUTANEUM: (Cutaneous Horn)
HENRY C.G. SEMON
2013· book-chapter· en· Elsevier eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
How women footballers can overcome negative stereotypes
Ilka H. Gleibs
2015· other· en· London School of Economics and Political Science Research Online (London School of Economics and Political Science)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Section 23. A Japanese “Fan” Problem
Ross Honsberger
2003· book-chapter· en· American Mathematical Society eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
When Ford and Chevy Were Argentine
David Sheinin
2022· article· en· Journal of Emerging Sport Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sport Management 03
2013· article· en· Digital Commons - Otterbein (Otterbein University)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About