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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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International Journal of Police Science & Management
Topic
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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

45 results · 1 filter active ·
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20032025
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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.
45 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 45 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 45 of 45 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affaboutunlabeled
‘This isn’t what I signed up for’
Laura Huey, Rosemary Ricciardelli
2015· article· en· International Journal of Police Science & Management· Social Sciences
distilled prediction:candidate · noneconsensus · none
67
citations
affunlabeled
What do police do and where do they do it?
Kathryn Wuschke, Martin A. Andresen, P. Jeffrey Brantingham, Christopher Rattenbury, Andrew Richards
2017· article· en· International Journal of Police Science & Management· Social Sciences
distilled prediction:candidate · scholarly_communicationconsensus · none
38
citations
affunlabeled
Our past
Francis D. Boateng, Isaac Nortey Darko
2016· article· en· International Journal of Police Science & Management· Social Sciences
distilled prediction:candidate · noneconsensus · none
35
citations
affunlabeled
Immigrant perceptions of the police
Yuning Wu, Ivan Y. Sun, Liqun Cao
2017· article· en· International Journal of Police Science & Management· Social Sciences
distilled prediction:candidate · stsconsensus · none
27
citations
affaboutunlabeled
‘We deal with human beings’
Laura Huey, Hina Kalyal
2017· article· en· International Journal of Police Science & Management· Social Sciences
distilled prediction:candidate · stsconsensus · none
20
citations
affunlabeled
Austerity policing’s imperative
Laura Huey, Kevin Cyr, Rosemary Ricciardelli
2016· article· en· International Journal of Police Science & Management· Social Sciences
distilled prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Geographic profiling survey
Karla Emeno, Craig Bennell, Brent Snook, Paul Taylor
2015· article· en· International Journal of Police Science & Management· Medicine
distilled prediction:candidate · noneconsensus · none
11
citations
affaboutunlabeled
The use of TikTok by the police
Juliana Kata Pereira Babic, Rylan Simpson
2024· article· en· International Journal of Police Science & Management· Social Sciences
distilled prediction:candidate · noneconsensus · none
4
citations

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