MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Policing Practices and Perceptions
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.

1,386 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.
1,386 works in the cohort · of 4,299,418page 5 of 28

Labels cover 3 of 1,386 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 1,386 of 1,386 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
'A New Beginning' for Policing
Clifford Shearing
2000· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Policing counter‐protest
2020· article· en· Sociology Compass· Social Sciences
machine prediction:candidate · noneconsensus · none
18
citations
venueaboutno affunlabeled
Media Hype, Racial Profiling, and Good Science
Alan Gold
2003· article· en· Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale· Social Sciences
machine prediction:candidate · stsconsensus · none
18
citations
affunlabeled
Career Stage and Police Cynicism
Ronald J. Burke, Aslaug Mikkelsen
2005· article· en· Psychological Reports· Social Sciences
machine prediction:candidate · noneconsensus · none
17
citations
aboutno affunlabeled
Police Leadership: An Australasian Commentary
Victoria Herrington
2016· article· en· Policing A Journal of Policy and Practice· Social Sciences
machine prediction:candidate · noneconsensus · none
17
citations
affvenueunlabeled
REINVENTING THE NIGHT-WATCHMAN STATE?
Malcolm Thorburn
2010· article· en· University of Toronto Law Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Austerity policing’s imperative
Laura Huey, Kevin Cyr, Rosemary Ricciardelli
2016· article· en· International Journal of Police Science & Management· Social Sciences
machine prediction:candidate · noneconsensus · none
16
citations
affaboutunlabeled
High policing and access to information
Alex Luscombe, Kevin Walby
2014· article· en· Police Practice and Research· Social Sciences
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Policing Services and the Quality of Life
Alex C. Michalos
2003· book-chapter· en· Social indicators research series· Social Sciences
machine prediction:candidate · noneconsensus · none
15
citations
venueno affunlabeled
Harm-focused policing
Laura Huey
2016· article· en· Journal of Community Safety and Well-Being· Social Sciences
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Evidence-Based Instruction of Police Use of Force
Paula M. Di Nota, Judith P. Andersen, Juha‐Matti Huhta, Harri Gustafsberg
2021· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
15
citations
← previousnext →

How this was built: Screen · Findings · About