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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
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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
Evidence
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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 39 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.

affaboutunlabeled
Canada’s unemployment insurance in crisis
Mohammad Ferdosi
2020· article· en· International Journal of Social Welfare· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Le statut d’emploi
Esther Paquet
2005· article· fr· Relations industrielles· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Intermediaries
Sarah Zell
2017· other· en· International Encyclopedia of Geography· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Unemployment Insurance and Macro-Financial (In)Stability
Yavuz Arslan, Ahmet Değerli, Bülent Güler, Gazi Kabaş, Burhan Kuruscu
2024· article· en· Finance and Economics Discussion Series· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Modelling labour demand in Poland
Kamila Radlińska, Krzysztof Jaroś, Agnieszka Jakubowska, Anna Rosa
2020· article· en· Wiadomości Statystyczne The Polish Statistician· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Placing Care Work in the Future of Work Discourse
Tyler Blackman, Terah Sportel, Margaret Walton‐Roberts
2022· article· en· Glocalism Journal of Culture Politics and Innovation· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Labor Confronts Austerity
Stephanie Ross, Larry Savage
2014· article· en· Labor Studies Journal· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Race, Police Violence, and Financial Decision-Making
Vicki L. Bogan, Lisa A. Kramer, Chi Chang Liao, Alexandra Niessen‐Ruenzi
2024· article· en· AEA Papers and Proceedings· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Health and Coverage At Risk
Robert B. Friedland, Laura Summer, Sophie M. Korczyk, Douglas Hyatt
2001· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Work disability and the Northern Irish Troubles*
Declan French, Sharon Cruise
2021· article· en· Oxford Bulletin of Economics and Statistics· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Leaving work in the care home
Aysha Mendes
2020· article· en· Nursing and Residential Care· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About