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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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Health disparities and outcomes
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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.

4,167 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.
4,167 works in the cohort · of 4,299,418page 80 of 84

Labels cover 28 of 4,167 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 4,167 of 4,167 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
Mental Health, Geography, and the Academy
Beverley Mullings, Kate Parizeau, Linda Peake
2021· other· en· International Encyclopedia of Geography· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
From Observation to Theory
Holly Tuokko
2002· article· en· Journal of the International Neuropsychological Society· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Mental Health Service Type Use and Depressive Symptoms: A Multivariable Analysis of Sociodemographic Correlates: Utilisation des services de santé mentale et symptômes dépressifs : Analyse multi-variables des corrélats sociodémographiques
Shakila Meshkat, Vanessa K. Tassone, Reinhard Janssen‐Aguilar, Wendy Lou, Shauna Major, Andrew J. Greenshaw +1 more
2025· article· en· The Canadian Journal of Psychiatry· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Neighborhood Disadvantage and Well‐Being
Richard M. Carpiano
2014· other· en· The Wiley Blackwell Encyclopedia of Health, Illness, Behavior, and Society· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Aging in Place
CADTH
2024· article· en· Canadian Journal of Health Technologies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Social Epidemiology
Ian McDowell
2017· other· en· The Wiley-Blackwell Encyclopedia of Social Theory· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractgpt · no categorygrok · no categoryopus · no categorymodels agree
An Objective Metric of Individual Health And Aging For Population Surveys
Qing Li, Véronique Legault, Vincent‐Daniel Girard, Luigi Ferrucci, Linda P. Fried, Alan A. Cohen
2021· preprint· en· Research Square· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Life Course
Susan A. McDaniel
2019· other· en· The Blackwell Encyclopedia of Sociology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About