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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.

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
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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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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 15 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.

affunlabeled
Base rates and Bayes’ Theorem for decision support
Jared C. Allen, Alasdair M. Goodwill, K. Watters, Éric Beauregard
2014· article· en· Policing An International Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
CRIMINAL PROFILES OF DRINKING DRIVERS IN ONTARIO
Sherry Stewart, Paul Boase, Robert Lamble
2000· article· en· Proceedings International Council on Alcohol, Drugs and Traffic Safety Conference· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Street Youth, Social Schemas, and Crime
Stephen W. Baron
2017· article· en· Criminal Justice and Behavior· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affvenueno abstractunlabeled
Introduction
Isabelle F.-Dufour, Marie-Pierre Villeneuve
2020· article· en· Criminologie· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
5
citations
aboutno affunlabeled
Exploring Accessibility versus Opportunity Crime Factors
Elizabeth Davison, William R. Smith
2003· article· en· NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Race, Crime and Criminal Justice in Canada
Clayton Mosher, Taj Mahon-Haft
2010· book-chapter· en· Palgrave Macmillan UK eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Modifiable Areal Unit Problem
Martin A. Andresen
2021· other· en· The Encyclopedia of Research Methods in Criminology and Criminal Justice· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Street justice: a theoretical paradigm
Steven M. Downing
2011· article· en· Contemporary Justice Review· Social Sciences
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About