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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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Terrorism, Counterterrorism, and Political Violence
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.

1,398 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,398 works in the cohort · of 4,299,418page 23 of 28

Labels cover 5 of 1,398 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 1,398 of 1,398 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
Suicide decriminalisation in the United Arab Emirates
Sumaya Al Marzooqi, Mark Mohan Kaggwa, Adel El Sheikh, ABOUKER Ibrahim, Gary Chaimowitz, Andrew T Olagunju
2025· letter· en· The Lancet Psychiatry· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Machine-jihad
Maria Mourani
2022· article· en· Criminologie· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Female Heroes of Medieval Persia
Zhinia Noorian, Brian Griffith
2024· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Timothy Findley: Apocalypse Now
Anne Nothof
2002· book-chapter· en· Aurora eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Countering State Sponsors of Terrorism
2025· book-chapter· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
<i>Jihad vs. McWorld</i> Revisited
Ronald Wintrobe
2006· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
'In this very uncertain space'
Y‐Dang Troeung, Phanuel Antwi
2020· article· en· Open Collections· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Defining Mass Media’s Threats to National Security
Solomon Samuel Gonina, Linus Mun Ngantem, Kyermun Samuel Dapiya
2020· article· en· Canadian social science· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction
Thomas J. Butko, Maryam Razavy
2009· article· en· Religious Studies and Theology· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Islamophobia di Kanada
Ilman Fajr Firdaus, Zulkipli Lessy
2025· article· en· Reslaj Religion Education Social Laa Roiba Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction
Kenneth Christie
2025· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About