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 Policy and Governance
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.

9,787 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.
9,787 works in the cohort · of 4,299,418page 155 of 196

Labels cover 3 of 9,787 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 9,787 of 9,787 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.

aboutno affunlabeled
Build Toronto and Invest Toronto
2010· book-chapter· en· Local economic and employment development· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Notes from the Editors, June 2001
The Editors
2001· article· en· Monthly Review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
CANADA-UNITED STATES RELATIONS
2015· book-chapter· en· University of Toronto Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Preface - Canada (TDM CETA Special)
L.Y. Fortier, Oq, Qc
2016· article· en· TDM· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affno abstractunlabeled
At Global Affairs Canada in 2016 HUGH ADSETT
Hugh Adsett
2016· article· en· Canadian Yearbook of international Law/Annuaire canadien de droit international· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canada's growing ideal
Mark Wilson
2008· article· en· Traffic world· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Paradis fiscaux : le Québec peut agir
Érik Bouchard-Boulianne
2017· article· fr· Érudit (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
5. Full dataset (Kimball 2017).tab
Anessa L. Kimball
2018· dataset· it· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Canada - Committed to a Nuclear Future
Michael J. Caplan
2006· article· en· Pacific Basin Nuclear Conference 2006· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Abkommen, Kanada-Frankreich
2017· article· en· Open Collections· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About