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
Torture, Ethics, and Law
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.

464 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.
464 works in the cohort · of 4,299,418page 9 of 10

Labels cover 0 of 464 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 464 of 464 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
Private spaces
Don MacNiven
2023· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Duty to Warn
Joy E. Stankowski
2013· other· en· Wiley Encyclopedia of Forensic Science· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
The Practice of Execution in Canada
Ged Martin
2011· article· en· British Journal of Canadian Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The Drug Testing Virus
Finn Makela
2008· article· en· Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0197-2510(06)70532-0
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Conclusion
Sonja C. Grover
2013· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Luban, David
Michael Kocsis
2017· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Interrogation Area
Dongqing Li
2015· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
gion, the Edmonton Garrison
2016· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Hemapheresis listening post
Patricia J Golden, R.N Hemapheresis Practitioner
2002· article· en· Transfusion and Apheresis Science· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Greatest Loss
David B. Reuben
2006· article· en· Journal of the American Geriatrics Society· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Punishment, written by Thom Brooks
Michael Plaxton
2016· article· en· Journal of Moral Philosophy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Lies and Reparation
Aritha van Herk
2019· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Democracy Now! Monday, August 11, 2008
2006· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Introduction
2015· article· en· Arca (British Columbia Electronic Library Network)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Query
2005· article· en· Canadian Medical Association Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About