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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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Revue internationale d éducation de Sèvres
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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.

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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.

168 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.
168 works in the cohort · of 4,299,418page 2 of 4

Labels cover 0 of 168 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 168 of 168 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.

aboutno affunlabeled
Introduction
Anne-Marie Bardi
2003· article· fr· Revue internationale d éducation de Sèvres· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Un système en quête de succès
Marc Tardif, André Balleux
2003· article· fr· Revue internationale d éducation de Sèvres· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Le portfolio ou portefeuille de compétences
Bernadette Plumelle
2006· article· fr· Revue internationale d éducation de Sèvres· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
La musique chez les tout-petits
Laurel J. Trainor
2017· article· fr· Revue internationale d éducation de Sèvres· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Présentation du numéro 42
2006· article· fr· Revue internationale d éducation de Sèvres· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
L’école et ses héritages
Françoise Martin-Van der Haegen
2009· article· fr· Revue internationale d éducation de Sèvres· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Enseignement à distance et pédagogie
William R. Newman
2012· article· fr· Revue internationale d éducation de Sèvres· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Présentation
Roger-François Gauthier
2005· article· fr· Revue internationale d éducation de Sèvres· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
La tentation de la tradition
Edward Vickers
2015· article· fr· Revue internationale d éducation de Sèvres· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Les écoles confessionnelles en Europe
Michael S. Merry
2017· article· fr· Revue internationale d éducation de Sèvres· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Présentation
Alain Warzée
2005· article· fr· Revue internationale d éducation de Sèvres· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Apprendre les mathématiques incarnées au Canada
Nathalie Sinclair, Antoine Lachance
2025· article· fr· Revue internationale d éducation de Sèvres· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Pourquoi enseigner l’histoire ?
2015· paratext· fr· Revue internationale d éducation de Sèvres· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
L’école dans les médias
2014· paratext· fr· Revue internationale d éducation de Sèvres· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About