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
American Constitutional Law and Politics
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.

3,460 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.
3,460 works in the cohort · of 4,299,418page 12 of 70

Labels cover 6 of 3,460 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 3,460 of 3,460 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.

fundno affunlabeled
The religious expert in American courts
Wìnnìfred Fallers Sullivan
2011· article· en· Archives de sciences sociales des religions· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Now You See It, Now You Don’t
Karim M. Tiro
2013· article· en· The Public Historian· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Constitutions and the Metropolis
Ran Hirschl
2020· article· en· Annual Review of Law and Social Science· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Is the Presidency Dangerous to Democracy?
Michael A. Genovese
2006· book-chapter· en· Palgrave Macmillan US eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Constitution
Peter H. Russell
2010· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Was Magna in the Public Interest?
Anita Anand
2011· article· en· Osgoode Hall law journal· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
L’Europe et la paix
Étienne Gilson
2018· article· fr· Communio· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About