MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Canadian Identity and History
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.

41,706 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.
41,706 works in the cohort · of 4,299,418page 511 of 835

Labels cover 82 of 41,706 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 41,706 of 41,706 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.

venueaboutno affunlabeled
Editorial
Ann Wilson
2001· editorial· en· Canadian Theatre Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Thunderstruck, or Song of the Say-Sayer
Daniel Danis, Patricia Tersigni
2001· article· en· Canadian Theatre Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundvenueaboutno affunlabeled
Divestment and Democracy at a Canadian University
Gregory M. Mikkelson
2020· article· en· Journal of the Council for Research on Religion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
dust
Jason Maghanoy
2009· article· en· Canadian Theatre Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Louis Riel and the Fenian Raid of 1871
A. H. de Trémaudan
2021· article· en· Canadian Historical Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Newfoundland and Labrador 1766
Toby Musgrave
2020· book-chapter· en· Yale University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
43. Critères d'accréditation des universités
Université McGill
2002· book-chapter· fr· Presses de l’Université de Montréal eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Chronique de disques
Marc Hyland
2010· article· fr· Circuit Musiques contemporaines· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
The Vancouver Carts
Kelly E. Wood
2017· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Enchanted Figtree
Marco Micone
2022· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Labour Democracy in 1952
Émile Gosselin
2014· article· en· Relations industrielles· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About