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
Crime Patterns and Interventions
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.

1,557 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.
1,557 works in the cohort · of 4,299,418page 24 of 32

Labels cover 3 of 1,557 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 1,557 of 1,557 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.

venueaboutno affunlabeled
Les gangs de rue en prison
Marie-Pier Charland
2010· dissertation· fr· Library and Archives Canada (Government of Canada)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Trends in Crime Measures: British Columbia, 1999-2013
P. Jeffrey Brantingham, Kathryn Wuschke, Silas Nogueira de Melo
2014· article· en· PDXScholar (Portland State University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Index
2015· paratext· en· Edward Elgar Publishing eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Brightness and Repair in the Face of Poverty
Maia Kotrosits, Hal Taussig
2013· book-chapter· en· Palgrave Macmillan US eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Special Crime Scenes
Max M. Houck, Frank Crispino, Terry McAdam
2012· book-chapter· en· Elsevier eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Sociabilidad carcelaria y reinserción
Axelle François, Anne-Marie Nolet, Carlo Morselli
2018· article· fr· Déviance et Société· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Twenty volumes of victimology
Joanna Shapland, Jennifer Sloan
2013· article· en· International Review of Victimology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Control Theory
Marc Le Blanc
2013· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Work of Police Search and Rescue, Part I
Lorna Ferguson, Laura Huey
2023· book-chapter· en· SpringerBriefs in criminology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Perspectives sur la prévention du crime: questions et enjeux
Ross Hastings
2005· article· fr· Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Determinants of Crime Rate: The Case from Regions of Mindanao, Philippines
Kathylene Mae C Cañada, Clarissa Mae Q Concon, Lowella Joy T Magsayo, Rhealyn S Paculob, Charlyn M. Capulong, Maria Rizalia Teves +2 more
2025· article· en· Journal of Economics Research and Social Sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About