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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
aboutaboutness

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
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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 20 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.

affaboutunlabeled
But How?
Ornella Nzindukiyimana
2021· article· en· Journal of Sport History· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Book Reviews
Pål Repstad, James A. Beckford, Grace Davie, Timothy A. Byrnes, Mandy Robbins, Peta Goldberg +19 more
2011· article· en· Journal of Contemporary Religion· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affunlabeled
A Lot of People Did Not Want This to Happen
Tunisha Singleton, Kyle Green
2021· article· en· Journal of Emerging Sport Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Race and Retention in a Competitive Labor Market
Daniel LaFave, Randy A. Nelson, Michael Doherty
2018· article· en· Journal of Sports Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Sport, Aggressive Play, and Violence
Kevin Young
2022· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About