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 23 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
Ipeelee and the Duty to Resist
Marie-Ève Sylvestre, Marie-Andrée Denis-Boileau
2018· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
The Impact of AI on Elderly Inmates in Central Prison
S. Srinivasan, N. Rajavel
2024· book-chapter· en· Advances in electronic government, digital divide, and regional development book series· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Governing Bodies and Spaces
Marilou Gagnon, Luc Cormier
2012· article· en· Advances in Nursing Science· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affvenueaboutunlabeled
Governmentality, Critical Criminology, and the Absent Norm
Willem de Lint
2006· article· en· Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
“You Are Not the Tenant I am Looking For”
Leah Hamovitch, Lesley Zannella, Emma Rempel, Heidi Graf, Kimberley A. Clow
2022· article· en· The Wrongful Conviction Law Review· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Total Control
Marilou Gagnon, Jean Daniel Jacob, Luc Cormier
2013· article· en· Journal of Forensic Nursing· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affaboutunlabeled
Accessing drug treatment courts do age, race or gender matter?
Michael Weinrath, Kelly Gorkoff, Joshua Watts, Calum Smee, Zachary Allard, Michael Bellan +2 more
2018· article· en· Australian & New Zealand Journal of Criminology· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About