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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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Labor Movements and Unions
Retraction
Abstract
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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.

4,123 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.
4,123 works in the cohort · of 4,299,418page 48 of 83

Labels cover 6 of 4,123 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 4,123 of 4,123 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
Canadian labour law: a comprehensive text
Johannes Maldonado
2017· article· en· Books | Encyclopedia of Canadian Laws· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Unjust dismissal and the Canada Labour Code
Sergio Podell
2017· article· en· Books | Encyclopedia of Canadian Laws· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Ontario. Employment Standards Branch
Kathryn Birkbeck
2017· article· en· Biographies | Encyclopedia of Canadian Laws· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Asian Canadian
2014· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Union Growth in Canada: 1956-1999
Joseph B. Rose
2001· article· en· Employment relations record· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian employment law factbook
Czeslaw Huberts
2017· article· en· Books | Encyclopedia of Canadian Laws· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Labour Law and the New Inequality
Michael Lynk
2009· article· en· University of New Brunswick Law Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian women and job related laws 1981
Edward Haberfeld
2017· article· en· Books | Encyclopedia of Canadian Laws· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Employers' Council of British Columbia
Ruth Resetnikova
2017· article· en· Biographies | Encyclopedia of Canadian Laws· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian labour law cases
Kathryn Alexandre
2017· article· en· Books | Encyclopedia of Canadian Laws· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Status and Awards
Jeff Offutt
2012· article· en· Software Testing Verification and Reliability· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About