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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
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 ·
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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 23 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
Routine activity theory
Martin A. Andresen, Olivia K. Ha
2017· preprint· en· CrimRxiv· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Risk assessment of sex offenders
Howard E. Barbaree, Robert A. Prentky
2017· book· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Anti-Authority and Militia Movements in Canada
Barbara Perry, David C. Hofmann, Ryan Scrivens
2019· article· en· The Journal of Intelligence Conflict and Warfare· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Experimental Methods in Criminology
Rylan Simpson
2024· reference-entry· en· Oxford Research Encyclopedia of Criminology and Criminal Justice· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Predicting Crime Rate in Toronto
Vipin Rai, Kirandeep Kaur, Astitva Kumar Sana, Naman Sharma
2023· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Acknowledgments
2017· book-chapter· en· University of British Columbia Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Repenser la mobilité criminelle
2022· dissertation· fr· Papyrus : Institutional Repository (Université de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About