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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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Asian Culture and Media Studies
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
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.

814 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.
814 works in the cohort · of 4,299,418page 10 of 17

Labels cover 0 of 814 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 814 of 814 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
The Internet and Social Media
Dal Yong Jin
2022· book-chapter· en· Oxford University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Queer Korea. Perverse Modernities.
Kyungtae Kim, Todd A. Henry
2021· article· en· Pacific Affairs· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Babadook
Rubina Ramji
2014· article· en· Journal of Religion & Film· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Superfans and evangelizers
Nathalie Coulter, Marie Grace Lao
2021· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
List of contributors
2013· other· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Democracy and Event
Elaine Stavro
2023· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Folksongs and Folk Revival
Anna Kearney Guigné
2015· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Preface
David Savran
2023· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Wu Ming's Transmedia Activism
Paolo Saporito
2024· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ethnic Media
Sherry S. Yu, Matthew D. Matsaganis
2024· reference-entry· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About