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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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Cinémas Revue d études cinématographiques
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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.

582 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.
582 works in the cohort · of 4,299,418page 3 of 12

Labels cover 2 of 582 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 582 of 582 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.

venueno affunlabeled
Présentation
Laurent Le Forestier
2011· article· fr· Cinémas Revue d études cinématographiques· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
venueno affunlabeled
Du cinéma à la carte
Tom Conley
2007· article· fr· Cinémas Revue d études cinématographiques· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
Kodachrome : la couleur de la nostalgie
André Habib
2021· article· fr· Cinémas Revue d études cinématographiques· Psychology
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
French Cancan et le spectateur mobile
Édouard Arnoldy
2003· article· fr· Cinémas Revue d études cinématographiques· Arts and Humanities
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
The Old Dark House and the Space of Attraction1
Robert Spadoni
2011· article· en· Cinémas Revue d études cinématographiques· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Sergueï Eisenstein : l’acteur manquant
Francesco Pitassio
2007· article· fr· Cinémas Revue d études cinématographiques· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
« Faire le tour de la question »
Bernard Perron
2007· article· fr· Cinémas Revue d études cinématographiques· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Du cinéma oral au spectateur muet
Germain Laçasse
2007· article· fr· Cinémas Revue d études cinématographiques· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Le film et le temps braudélien
Michèle Lagny
2011· article· fr· Cinémas Revue d études cinématographiques· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Médium ou média ? Film ou cinéma ?
Laurent Jullier
2020· article· fr· Cinémas Revue d études cinématographiques· Arts and Humanities
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Le spectateur qui en savait trop
François Jost
2011· article· fr· Cinémas Revue d études cinématographiques· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Un cinéma zazique?
Johanne Bénard
2011· article· fr· Cinémas Revue d études cinématographiques· Arts and Humanities
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Présentation. Pourquoi Eisenstein dans le texte ?
François Albéra
2001· article· fr· Cinémas Revue d études cinématographiques· Arts and Humanities
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
L’attrait de plans retrouvés
Christa Blümlinger
2014· article· fr· Cinémas Revue d études cinématographiques· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About