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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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Sport and Mega-Event Impacts
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.

2,273 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.
2,273 works in the cohort · of 4,299,418page 31 of 46

Labels cover 3 of 2,273 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 2,273 of 2,273 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 affno abstractunlabeled
Toronto’s olympic ambitions
Robert Oliver
2011· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
United in Orange and Walking on Water
David B. LaFrance
2014· article· en· American Water Works Association· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.51847/1RG0BxwlBe
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Le Tour de France
2014· book-chapter· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Conclusions
Vladimir Antchak, Vassilios Ziakas, Donald Getz
2019· book-chapter· en· Goodfellow Publishers eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Portfolio Evaluation and Impact Assessment
Vladimir Antchak, Vassilios Ziakas, Donald Getz
2019· book-chapter· en· Goodfellow Publishers eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Carnival as a Part of Event Tourism
Oleksandr Zyma
2010· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Film Festivals
Barry Keith Grant
2006· article· en· Film International· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Book reviews
Milena M. Parent, Núria Puig, Michael K. Mauws, Ken Foster, Liz Furlop
2001· article· en· European Sport Management Quarterly· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
People and Events
Marianne Dreger
2007· article· en· Journal of Occupational and Environmental Medicine· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Why Events
William O’Toole
2024· book-chapter· en· Goodfellow Publishers eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About