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
Military, Security, and Education Studies
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.

1,099 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.
1,099 works in the cohort · of 4,299,418page 19 of 22

Labels cover 2 of 1,099 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 1,099 of 1,099 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
Publications Recentes et Theses Soutenues
Francine Bisson
2004· article· fr· Francophonies d Amérique· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Foreword et Remerciements
Ericka Lavoie, Caroline Dunton
2014· article· en· Potentia Journal of International Affairs· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Total labrador
2019· article· fr· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
secret sentiment
Pierrette. Désy
2008· book· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Acquisitions et
2014· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundaboutno affunlabeled
Front Matter
Denis Latulippe, Mathieu Corriveau-La Grenade
2022· paratext· fr· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
www.cdfai.org
2012· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Par
2016· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
French Lexicography in Québec
Wim Remysen, Nadine Vincent
2019· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About