MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Employment and Welfare Studies
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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 ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 61 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.

aboutno affunlabeled
Glass Camels, 19th Annual China Cat Festival
2014· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Worksharing in the U.S. and Europe
2012· article· en· Upjohn Research (W.E. Upjohn Institute for Employment Research)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Semi-structured interview guide.
2025· article· en· Figshare· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueunlabeled
The evolution of the human capital of women
Audra J. Bowlus, Chris Robinson
2020· article· en· Canadian Journal of Economics/Revue canadienne d économique· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Health status of Spanish workers in 2015
2017· dissertation· ca· RECERCAT (Consorci de Serveis Universitaris de Catalunya)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Measuring Well-Being in Canada
Alex C. Michalos, Alex C. Michalos
2014· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Populations at Special Risk: Workers
Carles Muntaner, Faraz Vahid Shahidi, Il‐Ho Kim, Haejoo Chung, Joan Benach
2017· book-chapter· en· Elsevier eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About