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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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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 87 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
Après Vygotski et Piaget
Catherine Garnier, Nadine Bednarz, Irina Ulanovskaya
2009· book-chapter· fr· Pédagogies en développement. Problématiques et recherches· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Créer un dialogue avec l’histoire
Marie-Josée Lemaire-Caplette
2018· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Qu'est-ce qu'un entretien ?
Ghislain Thibault
2010· article· fr· Commposite· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Ralentir la recherche
Yves Gingras
2022· article· fr· Pour la Science· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affno abstractunlabeled
En promotion : Cinéma québécois
Pierre Barrette
2006· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Des collectifs au-delà de l’école
Andreea Capitanescu Benetti, Sandrine Biémar, Caroline Letor, Lætitia Progin
2023· article· fr· Cahiers pédagogiques· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
La mesure du mouvement humain
Patrick Lacouture, Laetitia Fradet, Tony Monnet
2014· article· fr· Instrumentation Mesure Métrologie· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Entreprendre et savoir s'entourer
Josée St‐Pierre
2018· article· fr· Revue internationale P M E Économie et gestion de la petite et moyenne entreprise· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
La littérature jeunesse pour enseigner les mathématiques
Dominic Voyer, Natalie Lavoie, Marie-Pier Goulet, Marie-Pier Forest
2018· article· fr· Canadian Journal of Education / Revue canadienne de l éducation· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About