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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.

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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.

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Crime Patterns and Interventions
Retraction
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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
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venuejournal
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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 ·
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20002025
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Machine labels · sparse coverage
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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 29 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.

affno abstractunlabeled
Crime Prevention
2014· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Crime and Family Dynamics: New Perspectives
Carolyn Côté‐Lussier, Leslie Touré Kapo, Stéphane Paquin
2025· article· fr· Enfances Familles Générations· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Inside the Criminology of Carlo Morselli
Martin Bouchard, Frédéric Ouellet
2022· 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
0
citations
aboutno affunlabeled
Deep Learning Process in Analyzing Crimes
Bathula Rakesh
2022· article· en· International Journal for Research in Applied Science and Engineering Technology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
5. Understanding recent trends in crime
Tim Newburn
2018· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Role of Municipality in Crime Prevention
Sara Modaberi, Mahdi Momeni
2016· article· en· Journal of Politics and Law· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Crime Coverage
Mary Lynn Young
2019· other· en· The International Encyclopedia of Journalism Studies· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Youth Gang Exit
Laura Dunbar
2016· book-chapter· en· Advances in psychology, mental health, and behavioral studies (APMHBS) book series· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Leslie Sebba – An appreciation
Joanna Shapland, David Miers, Edna Erez, Tinneke Van Camp, Jo-Anne Wemmers
2022· article· en· International Review of Victimology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Criminological Aspects of Hate Crime
Daniel Koci
2021· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Place Manager Failures and Successes
John E. Eck, Shannon J. Linning, Tamara D. Herold
2023· book-chapter· en· SpringerBriefs in criminology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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