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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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Social Sciences and Governance
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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
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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.

14,379 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.
14,379 works in the cohort · of 4,299,418page 286 of 288

Labels cover 40 of 14,379 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 14,379 of 14,379 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.

venueaboutno affunlabeled
Remerciements à nos évaluateurs de 2018
2019· article· fr· Promotion de la santé et prévention des maladies chroniques au Canada· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Montreal/Montréal
2018· article· en· Project Muse (Johns Hopkins University)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Réponse à Ed Bruning
Cosmo Howard
2010· article· fr· Revue Internationale des Sciences Administratives· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affgemma · no categorygpt · no categorymodels split
La densification "douce" au Canada
Anastasia Touati
2013· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Parutions récentes
Sébastien Vincent
2013· article· fr· Bulletin d histoire politique· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Canada
Julie Evans, Patricia Grimshaw, David Philips, Shurlee Swain
2018· book-chapter· en· Manchester University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Faits d’actualité
Rémi Moreau
2023· article· fr· Assurances et gestion des risques· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Gouvernance et GIZC : projet d'étude comparée France-Québec
Anne Fauré, Thierry Guineberteau, C Rioux, Isabelle Fortier, Brice Trouillet, Christine Lamberts
2012· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Vers des politiques « plus vertes » ?
Laurent Borzillo, Judith Nora Hardt, Gwénola Sebaux, Niko Switek, Ulrike Zeigermann
2021· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
La négociation sociale
2000· book· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About