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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 18 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.

affunlabeled
Maintaining employment and improving health
James Woodall, Kris Southby, Joanne Trigwell, Vanessa Lendzionowski, Rosana Rategh
2017· article· en· International Journal of Workplace Health Management· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
affaboutunlabeled
Why ‘Good’ Jobs Lead to Social Exclusion
Charlotte Yates, Belinda Leach
2006· article· en· Economic and Industrial Democracy· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
affaboutunlabeled
The effect of minimum wages on consumption in Canada
Young Cheol Jung, Adian McFarlane, Anupam Das
2020· article· en· The Economic and Labour Relations Review· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
What makes work better or worse? An analytical framework
Gregor Murray, Dalia Gesualdi‐Fecteau, Christian Lévesque, Nicolas Roby
2023· article· en· Transfer European Review of Labour and Research· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
afffundaboutunlabeled
Ethno-cultural diversity in home care work in Canada
Anne Martin-Matthews, Joanie Sims‐Gould, John A. Naslund
2011· article· en· International Journal of Ageing and Later Life· Health Professions
machine prediction:candidate · noneconsensus · none
12
citations
affaboutunlabeled
‘Work First’ and Immigrants in Toronto
Andrew Mitchell, Ernie Lightman, Dean Herd
2007· article· en· Social Policy and Society· Health Professions
machine prediction:candidate · noneconsensus · none
12
citations
venueaboutno affunlabeled
Paving the Way for the Future of Work
Namir Anani
2018· article· en· Canadian Public Policy· Health Professions
machine prediction:candidate · noneconsensus · none
12
citations

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