MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Social Sciences and Governance
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.

14,379 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 63 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.

affunlabeled
Apprendre en s'endettant
Anne Querrien, François Rosso
2012· article· fr· Multitudes· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Apprenticeship Assistance
Charles E. Thérien
2014· article· en· Relations industrielles· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
La loi du cadenas du gouvernement Duplessis
2018· book-chapter· fr· Les Presses de l'Université de Montréal eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Les obstacles à la mixité dans la gestion par projets
Marie‐Josée Legault, Stéphanie Chasserio
2009· article· fr· Revue multidisciplinaire sur l emploi le syndicalisme et le travail· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Jeunesse : la mouvance comme mode de vie
Jean-François René
2008· article· fr· Nouvelles pratiques sociales· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Competitiveness in the Québec forest industry : budget 2016-2017
Compétitivité de l'industrie forestière au Québec. Anglais, Québec organisme de publication, Traduction de Compétitivité de l'industrie forestière au Québec
2016· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
L’accréditation syndicale au Québec
Fernand Morin, Claude D’Aoust, Raymond Lachapelle
2005· article· fr· Relations industrielles· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
La FFHQ/FCFA dans son rapport au dualisme canadien
Rémi Léger, Martin Normand
2020· book-chapter· fr· Presses de l'Université Laval eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Ailleurs et autrement
Nicole Fontaine, Raymond Rochette
2006· article· fr· Santé mentale au Québec· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Partnership, with or without Democracy
Paul-André Lapointe
2001· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About