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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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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.

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.

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 32 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 affunlabeled
Milutin Gubash : migrer en formation
Chantal T. Paris
2015· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Festival du livre jeunesse Laval
Ginette Landreville, Sophie Marsolais
2003· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Exercices de styles
Marc Grignon
2008· article· fr· Érudit (Université de Montréal)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Regard sur le monde de Harry Potter
Louis Roussel
2004· article· fr· Érudit (Université de Montréal)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Et si on disait dyslexie
Julie Myre-Bisaillon
2006· article· fr· Érudit (Université de Montréal)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Ontario, un point tournant
Arash Mohtashami-Maali
2005· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Un pont entre les générations
Gilles Perron
2009· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Et une bouteille de rhum
Jeannot Bourdages
2018· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Propos, confidences et communication
John Willis
2006· article· fr· Érudit (Université de Montréal)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Vers le FSM 2016 à Montréal
Roger Rashi
2016· article· fr· Érudit (Université de Montréal)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Quatre relations de voyage au Canada
Gilles Boileau
2002· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
300 raisons d’aimer Montréal
Yves Laberge
2020· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About