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
European and International Law 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.

1,396 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.
1,396 works in the cohort · of 4,299,418page 8 of 28

Labels cover 1 of 1,396 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 1,396 of 1,396 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.

affunlabeled
Denmark: The Rise of the Danish People's Party
Christian Bächler, David Nicolas Hopmann
2017· article· en· University of Southern Denmark Research Portal (University of Southern Denmark)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Politi og privat vagtvirksomhed
Mette Volquartzen
2020· book· da· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Chapter 19: Italy
M. Tenore
2016· book-chapter· en· EC and international tax law series.· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
2010 Compromise Proposal ABS-Canada
Stefan Barriga, Claus Kreß
2011· book-chapter· fr· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Toward a Canadian Right to Communicate
Marc Raboy, Jeremy Shtern
2010· book-chapter· en· University of British Columbia Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Jurisprudence
2011· article· fr· Bulletin de droit nucléaire· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Specific Instances
2012· book-chapter· en· Annual report on the OECD guidelines for multinational enterprises· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
The Many (Mis)readings of the Laval Case
Angelica Ericsson
2016· article· en· Lund University Publications (Lund University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Chapter 15 – Germany
Alexander Rust
2010· book-chapter· en· EC and international tax law series.· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Brexit and the Border: Managing the UK/Ireland Impact
Katy Hayward, Milena Komarova, Michael Buttazzoni
2016· article· en· Research Portal (Queen's University Belfast)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
party_voter_experiment_psrm.do
Damien Bol, André Blais, Simon Labbé St-Vincent
2019· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About