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
Political Systems 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.

2,755 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.
2,755 works in the cohort · of 4,299,418page 20 of 56

Labels cover 3 of 2,755 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 2,755 of 2,755 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
The Federal Government and Tripartism
Roy J. Adams
2005· article· en· Relations industrielles· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Federalism in the EU and Canada
Amy Verdun
2016· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Reforming Parliamentary Democracy
C.E.S. Franks
2004· article· en· Canadian Journal of Political Science· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Complexity and the Amending Formula
Kate Glover
2015· article· en· Constitutional Forum / Forum constitutionnel· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
The NDP and Quebec
Lynda Erickson, David Laycock
2014· book-chapter· en· University of British Columbia Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
James R. Mallory: His Legacy
David E. Smith
2004· article· en· Canadian Journal of Political Science· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Introduction
Lorraine Weinrib, Patricia Paradis
2016· article· en· Constitutional Forum / Forum constitutionnel· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueaboutno affno abstractunlabeled
A model legislature in Alberta
Howard Yeung, Spence Nichol
2006· article· en· Canadian parliamentary review· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Who is Afraid of (Con)Federalism
Johanne Poirier
2015· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
“So, the European Union is 50…”
Stefan Gänzle, Steffi Retzlaff
2008· article· en· International Journal Canada s Journal of Global Policy Analysis· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affaboutno abstractunlabeled
Canadian Governments Reference Models
Roy Wiseman
2014· book-chapter· en· Translational systems sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Canada
Robert Diab
2015· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About