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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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Érudit (Université de Montréal)
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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.

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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.

8,135 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.
8,135 works in the cohort · of 4,299,418page 157 of 163

Labels cover 22 of 8,135 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 8,135 of 8,135 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 affno abstractunlabeled
Arjuna / Canada [Québec], 1999, 52 minutes
Luc Chaput
2000· article· zh· Érudit (Université de Montréal)· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Le mot de l’éditeur
Martin Roussy
2019· article· fr· Érudit (Université de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Vêtement d’appartenance
Marie-Paule Robitaille, Rachel Dessaints
2015· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Faire front contre la droite canadienne
Catherine Caron
2014· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Poiriers des Jésuites
Marcel Bénéteau
2011· article· fr· Érudit (Université de Montréal)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Le soc du ROC
2012· article· fr· Érudit (Université de Montréal)· Physics and Astronomy
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Comprendre la ville
Pierre Gauthier
2012· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Radio-Canada à la dérive
Alain Saulnier
2021· article· fr· Érudit (Université de Montréal)· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Ne tirez pas sur le pianiste
Gilles Perron
2010· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Le mois Riopelle au Musée du Québec
Bernard Lévy
2002· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Québec. Berceau de l’Amérique française
Yves Laberge
2018· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractgemma · no categorygpt · no categorymodels split
Ottawa et Moncton, villes romanesques !
Lucie Hotte
2006· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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