MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Cinémas Revue d études cinématographiques
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

582 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
582 works in the cohort · of 4,299,418page 10 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
Les ciseaux oubliés 1
Frank Keßler
2004· article· fr· Cinémas Revue d études cinématographiques· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Terminator 2. Technologie et identité sexuelle
Sylvestre Meininger
2011· article· fr· Cinémas Revue d études cinématographiques· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Les limbes du scénario
Gilles Thérien
2007· article· fr· Cinémas Revue d études cinématographiques· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Real Time Zidane
Janine Marchessault
2020· article· en· Cinémas Revue d études cinématographiques· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Le genre co-opérateur
André Gardies
2011· article· fr· Cinémas Revue d études cinématographiques· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Vers une théorie du récit automatique
Georges Nault
2011· article· fr· Cinémas Revue d études cinématographiques· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Les scénarios de Cap Tourmente
Esther Pelletier
2007· article· fr· Cinémas Revue d études cinématographiques· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Tarkovski, cinéaste cynique
Jean-Marcel Paquette
2011· article· fr· Cinémas Revue d études cinématographiques· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Les Fantômes de l’Amérique
Heinz Weinmann
2011· article· fr· Cinémas Revue d études cinématographiques· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About