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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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Politics and Conflicts in Afghanistan, Pakistan, and Middle East
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.

892 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.
892 works in the cohort · of 4,299,418page 12 of 18

Labels cover 1 of 892 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 892 of 892 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.

venueno affunlabeled
Kaye, Véronique-Marie. Afghanistan
Salwa Benchaabane
2013· article· fr· Voix Plurielles· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
REVIEWS
Carly Goodman, Richard Parker
2013· article· en· European Journal of American Culture· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Wokeism as Symbol of Cultural Clash
Eric Montigny
2025· book-chapter· en· Palgrave studies in populisms· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Malala Yousafzai
Zuhra Abawi
2023· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Health Content of Afghan Media
2011· article· en· Library and Archives Canada (Government of Canada)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Book Reviews: Can China Lead the New World?
Alf H. Walle
2020· article· en· Journal of Applied Business and Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Introduction
Bankimchandra Chatterji
2009· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Bush House in Words
Nazes Afroz
2011· article· en· Wasafiri· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Country Studies
2023· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.53762/gtft8r43
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
10.53762/t6s6h347
Muhammad Hussain, Muhammad Tayyab Alam
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About