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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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Employment and Welfare Studies
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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.

3,193 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,193 works in the cohort · of 4,299,418page 30 of 64

Labels cover 13 of 3,193 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 3,193 of 3,193 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.

affvenueno abstractunlabeled
Work and Pay in Japan.
2001· article· en· Pacific Affairs· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affvenueaboutunlabeled
The Hidden Work of Challenging Precarity
Kiran Mirchandani, Mary Jean Hande
2020· article· en· The Canadian Journal of Sociology· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Who are the working women in Canada's top 1%?
Elizabeth A. Richards
2019· article· en· Analytical Studies Branch Research Paper Series· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Travail, chômage et stigmatisation
Ginette Herman, David Bourguignon, Florence Stinglhamber, Dany Jourdan
2007· book-chapter· fr· De Boeck Supérieur eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
How Does COVID-19 Affect Child Labor?
Ghazal Zahed, Newsha Chehrehrazi, Abouzar Nouri Talemi
2020· article· en· Archives of Pediatric Infectious Diseases· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Understanding Regional Differences in Work Hours
Andrew Heisz, Sebastien Larochelle-Côté
2007· preprint· en· RePEc: Research Papers in Economics· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Cumulative Effects of Job Characteristics on Health
Jason M. Fletcher, Jody L. Sindelar, Shintaro Yamaguchi
2009· preprint· en· National Bureau of Economic Research· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
fundvenueno affno abstractunlabeled
Newcomers’ profiles of workplace affective commitment.
Simon A. Houle, Arya Shafei, István Tóth‐Király, Christian Vandenberghe, Alexandre J. S. Morin
2023· article· en· Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Economic Security in Nova Scotia
Lars Osberg, Andrew Sharpe
2008· preprint· en· RePEc: Research Papers in Economics· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About