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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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Education, sociology, and vocational training
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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.

7,574 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.
7,574 works in the cohort · of 4,299,418page 86 of 152

Labels cover 38 of 7,574 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 7,574 of 7,574 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.

affno abstractunlabeled
Les petites écoles
Jean‐Pierre Charland
2003· article· fr· Cap-aux-Diamants : La revue d'histoire du Québec· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Qui sont les rééducateurs ?
Marc Olano
2021· article· fr· Sciences Humaines· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Dieppe la fabrication d’un mythe
Béatrice Richard
2015· article· en· Canadian military history· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
La criminalité au québec
Benoît Dupont, Émile Pérez
2006· article· fr· Cairn.info· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Où sont les étudiants
Fred Evers, John Livernois, Maureen Mancuso
2006· article· fr· Cairn.info· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
La prostitution, un métier comme un autre?
Jeanne Maranda
2003· article· fr· Canadian women's studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Moment(s) de grâce. Oser l’osé en classe
Geneviève Ouellet
2009· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction from the Ludiciné Research Team
Bernard Perron, Dominic Arsenault, Martin Picard, Guillaume Roux-Girard, ­Carl Therrien
2010· article· en· Loading...· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Aider à apprendre de manière autonome
Sylvie C. Cartier
2010· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Faire sa place
Isabelle L’Italien-Savard
2009· article· fr· Québec français/Québec-français· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About