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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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Sex work and related issues
Retraction
Abstract
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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.

2,712 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.
2,712 works in the cohort · of 4,299,418page 47 of 55

Labels cover 4 of 2,712 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 2,712 of 2,712 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.

aboutno affunlabeled
Foreword
2018· book-chapter· en· University of British Columbia Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.53762/m9p5qt88
Shakeel Ur Rahman, Badshah Rehman
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Myths of the Skin Trade
Carol Quinn
2008· article· en· American book review/˜The œAmerican book review· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Reply
Marissa Becker, Parinita Bhattacharjee, James Blanchard, Eve Cheuk, Shajy Isac, Helgar Musyoki +6 more
2019· letter· en· JAIDS Journal of Acquired Immune Deficiency Syndromes· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Case 1 : Where are the Sex Workers?
Jaspreet Bhullar, Rebekah Vaughan, Gerald McKinley
2017· article· en· Scholarship@Western (Western University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The death of buddy diving?
Paul D. Cooper
2011· letter· en· PubMed· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.51847/rUdvd4JRru
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.51847/OzEy4Fx
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Introduction
Gwyn Campbell, Alessandro Stanziani
2019· book-chapter· en· Palgrave Macmillan US eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About