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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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Hong Kong and Taiwan Politics
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

488 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.
488 works in the cohort · of 4,299,418page 9 of 10

Labels cover 0 of 488 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 488 of 488 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
Trend 1977 - 2009. Statistics Canada. CANSIM: Agriculture - Livestock and Aquaculture | Country: Canada | Table: Nutrients in the food supply, by source of nutritional equivalent and commodity | Variable: Concentrated sweetened skim milk, Carbohydrates, Nutrients available adjusted for losses | Units: Milligrams Grams, 1977-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-007.
2015· other· en· Data Planet· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
SVR Macau
2020· article· de· University Library Heidelberg· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Taipei Tokyo Toronto
2011· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
ACSS ’97 Conference
Suzie Sau-Fong Young
2018· article· en· Asian Cinema· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
2 Canada’s Elevated Engagement with China
Gregory Chin
2025· book-chapter· University of British Columbia Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Taiwan Extra and the Future of Sinophone Studies
Howard Chiang, Yu-Ying Hu, Ronald C. Po, Scott Simon, Chia-rong Wu
2025· article· en· International Journal of Taiwan Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Preface
2019· book-chapter· en· Cornell University Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Foreword
Olivia Chow
2019· book-chapter· en· University of British Columbia Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Editing the Encyclopedia of Taiwan Studies
Hsin-Huang Michael Hsiao, Kuei-fen Chiu, Dafydd Fell, Nancy Guy, Ming‐sho Ho, Anru Lee +8 more
2025· article· en· International Journal of Taiwan Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Quebec
2000· article· en· Digital Commons - University of South Florida (University of South Florida)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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