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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
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.

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 19 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.

venueno affunlabeled
La fabrique des « bons petits gars »
Jean-Charles Basson
2018· article· fr· Lien social et Politiques· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affvenueunlabeled
Le numérique et l’enseignement au temps de la COVID-19, entre défis et perspectives – Partie 3. Enseigner à distance en temps de pandémie : réflexion sur les défis et les succès d’une adaptation dans l’urgence pour les formateurs universitaires
Bruno Poëllhuber, Thierry Karsenti, Normand Roy, Simon Jameson
2021· article· fr· Revue internationale des technologies en pédagogie universitaire· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Décrire, comprendre et expliquer
Jacques Hamel
2021· article· fr· SociologieS· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affvenueunlabeled
Randonner avec un vidéoprojecteur
Igor Babou
2016· article· fr· Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
(Se) motiver à apprendre
Thérèse Bouffard, Carole Vezeau
2006· book-chapter· fr· Presses Universitaires de France eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
(Re)conceptualiser l'université
Tim Vorley, Jen Nelles
2008· article· fr· Politiques et gestion de l enseignement supérieur· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
La conservation des ressources humaines en PME
Denis J. Garand, Bruno Fabi
2012· article· fr· Revue internationale P M E Économie et gestion de la petite et moyenne entreprise· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About