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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, Illicit Activities, and Governance
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.

940 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.
940 works in the cohort · of 4,299,418page 13 of 19

Labels cover 1 of 940 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 940 of 940 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.

affaboutunlabeled
Unraveling the crime-development nexus
Lou Pingeot
2023· article· en· International Affairs· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
jackknife1pw.tab
Michelle Dion, Catherine Russler
2018· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Frontmatter
Margaret E. Beare
2003· book-chapter· en· University of Toronto Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Mafias, Criminology of
Gavin Slade
2015· book-chapter· en· Elsevier eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Acknowledgements
2023· book-chapter· en· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Novelty Killing Public Disclosure
Dylan Roskams-Edris
2020· reference-entry· en· Definitions· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Birth of the Financial Thriller
Mikkel Krause Frantzen
2025· book· en· Edinburgh University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Транснациональная организованная преступность как угроза безопасности государств участников Содружества Независимых государств: некоторые проблемы теории и практики
Ирина Викторовна Щеблыкина, Виктор Владимирович Звягинцев
2014· article· ru· Пространство и Время· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Fighting the Ninja
Charles A. Norman
2010· article· en· Journal of Prisoners on Prisons· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Investigation of corporate scandals
Petter Gottschalk
2020· book-chapter· en· Edward Elgar Publishing eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Book Review: Thieves of State
Hugh Breakey
2016· article· en· Genocide Studies and Prevention· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Prisoner's Dilemma: Me versus We
Harold H. Kelley, John G. Holmes, Norbert L. Kerr, Harry T. Reis, Caryl E. Rusbult, Paul A. M. Van Lange
2001· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Neoliberal Crime Policy : Who Profits ?
Emma Bell
2012· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Chasing the Mafia
Anna Sergi
2022· book· en· Bristol University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About