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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 118 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.

affunlabeled
Une école de l’engagement
Erwan Tanguy, Émilie Besnier
2019· article· fr· Cahiers pédagogiques· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introduction au dossier
Michel Berre, Jan Goes, Irène-Marie Kalinowska, Sophie Piron
2022· article· fr· ORBi UMONS· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
7. Le projet ADREAM
Michel Diaz
2013· book-chapter· fr· CNRS Éditions eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Visualiser nos connaissances
Françoise Bahoken
2011· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Chapitre 10. Les identités du chercheur
Léandre Guigma
2017· book-chapter· fr· Presses de l’Université de Montréal eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Les défis de mise en place d'un laboratoire de jeu
Fanny Barnabé, Sébastien Genvo, Yannick Rochat, Guillaume Roux-Girard, ­Carl Therrien
2018· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Organisation apprenante
David Carassus
2022· preprint· fr· Institut de la gestion publique et du développement économique eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Chapitre 4. L’influence d’un crime
Alex Gagnon
2016· book-chapter· fr· Presses de l’Université de Montréal eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
L’urbanisme et l’université
Gérard Beaudet
2007· book-chapter· fr· Presses de l’Université de Montréal eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Conclusion. Diviser pour écouter
Charles Blattberg
2004· book-chapter· fr· Presses de l’Université de Montréal eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About