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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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Les Grands Dossiers des Sciences Humaines
Topic
Retraction
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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.

10 results · 1 filter active ·
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20082022
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
10 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 10 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 10 of 10 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
La reconnaissance au travail
Jean‐Pierre Brun
2008· article· fr· Les Grands Dossiers des Sciences Humaines· Social Sciences
distilled prediction:candidate · metaepi_narrow+stsconsensus · sts
12
citations
aboutno affunlabeled
Le mythe du marché
Neil Fligstein
2009· article· fr· Les Grands Dossiers des Sciences Humaines· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · sts
2
citations
affno abstractunlabeled
Les neurosciences, une nouvelle science en éducation ?
Béatrice Kammerer
2022· article· fr· Les Grands Dossiers des Sciences Humaines· Neuroscience
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · sts
0
citations
affno abstractunlabeled
Quelle écologie pour les villes ?
Thierry Paquot
2015· article· fr· Les Grands Dossiers des Sciences Humaines· Social Sciences
distilled prediction:candidate · metaepi_narrow+stsconsensus · sts
0
citations
affno abstractunlabeled
Madame d'Épinay (1726-1783). Au cœur des réseaux lettrés
Mélinda Caron
2019· article· fr· Les Grands Dossiers des Sciences Humaines· Arts and Humanities
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · sts+insufficient_payload
0
citations
affno abstractunlabeled
7 milliards de scientifiques
Hélène Frouard
2021· article· fr· Les Grands Dossiers des Sciences Humaines· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · sts
0
citations
affno abstractunlabeled
La bienveillance éducative, mode d’emploi
Catherine de Coppet
2022· article· fr· Les Grands Dossiers des Sciences Humaines· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · sts
0
citations
affno abstractunlabeled
La magie au musée
Gaëlle Cap-Jedikian, Carole Millon, Jean-François Dortier
2020· article· fr· Les Grands Dossiers des Sciences Humaines· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · sts
0
citations
affno abstractunlabeled
Quand la compassion rend malade
Philippe Zawieja
2018· article· fr· Les Grands Dossiers des Sciences Humaines· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+research_integrity+insufficient_payloadconsensus · sts
0
citations

How this was built: Screen · Findings · About