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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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Retirement, Disability, and Employment
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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.

1,535 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.
1,535 works in the cohort · of 4,299,418page 19 of 31

Labels cover 3 of 1,535 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 1,535 of 1,535 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 Age and Time of No Retirement
Adnan ul Haque
2021· book-chapter· en· Advances in human services and public health (AHSPH) book series· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Tech and Seniors - Changing Times
Christopher Frank
2019· article· en· Canadian Family Physician· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Public Support for Retirement Income Reform
Peter Hicks
2001· article· en· OECD labour market and social policy occasional papers· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Pensionnats du Canada : Les séquelles
2016· book· fr· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Retiring to work
Peter J. Taylor
2016· article· en· Arab world geographer· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Pensions and Retirement [Canadian Content]
Narat Charupat, Huaxiong Huang, Moshe A. Milevsky
2012· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Labor Supply Decisions of Disabled Male Workers
Harry Krashinsky, Michele Campolieti, Morley Gunderson
2011· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
PROSPERED Data Manual: Family Leave
Arijit Nandi, Efe Atabay, Ilona Vincent
2019· dataset· en· Harvard Dataverse· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About