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
Topic
Cultural Insights and Digital Impacts
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.

6,036 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.
6,036 works in the cohort · of 4,299,418page 47 of 121

Labels cover 22 of 6,036 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 6,036 of 6,036 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 affno abstractunlabeled
Vers une esthétique antispéciste
Julia Roberge Van Der Donckt
2016· article· fr· Esse/Esse arts + opinions· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Le patrimoine documentaire au Québec
Claire Seguin
2020· article· fr· Cairn.info· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Gabarit de diaporama PowerPoint
2020· article· fr· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Fin de siècle
François Dion, Sally McKay, Luis Jacob
2000· book· fr· Optica eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Les archives de Binet
2016· article· fr· OpenEdition (OpenEdition)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
211in.FR Tableau des usages de modèle
2025· article· fr· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Voyages de lecture
Isabelle L’Italien-Savard
2008· article· fr· Québec français· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Un manifeste pour le black metal
Églantine de Boissieu, Catherine Guesde
2012· article· fr· Sens public· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Note de la rédaction
Véronique Marcotte
2003· article· fr· Documentation et bibliothèques· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Anamorphoses (essai sonore)
Mario Gauthier
2016· article· fr· Circuit Musiques contemporaines· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Coffret Jutra Québec 1971, 110 minutes
Carl Rodrigue
2004· article· fr· Séquences : la revue de cinéma· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About