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
Criminal Justice and Corrections Analysis
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.

3,211 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.
3,211 works in the cohort · of 4,299,418page 37 of 65

Labels cover 5 of 3,211 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 3,211 of 3,211 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.

affaboutunlabeled
Risk of what? Risk to whom? The realities of parole practices
Chloé Leclerc, Maude Boucher-Réhel, Roxane Perrin-Plouffe, Marion Vacheret, Marianne Quirouette
2025· article· en· Current Issues in Criminal Justice· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
INTRODUCTION
Isabel Grant, Martha Shaffer, Alison Symington
2013· article· en· University of Toronto Law Journal· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affunlabeled
Victimology Basis of Restorative Justice
Huan Chen, Xiaonan Wang
2015· article· en· Higher education of social science· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Editorial Introduction: A New Chapter
Ian Loader
2016· editorial· en· The Howard Journal of Crime and Justice· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Assessment of HIV Knowledge in Correctional Facility Health Care Workers
Holly Hoang, Muhammad Naeem Khan, Sara Berger, Danusia Moreau, Pamela Nickel, Dan Woods +5 more
2015· article· en· Journal of the International Association of Providers of AIDS Care (JIAPAC)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
‘Heroes’ and victims
Adie Nelson, Frederick J. Desroches
2014· article· en· International Review of Victimology· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Restorative Justice and Nodal Governance
Jennifer Wood, Clifford Shearing, Jan Froestad
2011· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Crime and Punishment in<scp>C</scp>anada
Sandra M. Bucerius, Marta‐Marika Urbanik
2015· other· en· The Encyclopedia of Crime and Punishment· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Drugs and Prisons
Michael Wheatley, John R. Weekes, Andrea E. Moser, Kathleen Thibault
2017· book· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About