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
Ethics in medical practice
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.

2,311 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.
2,311 works in the cohort · of 4,299,418page 21 of 47

Labels cover 23 of 2,311 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 2,311 of 2,311 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.

venueno affunlabeled
The Political Ethics of Health
Daniel Weinstock
2018· article· en· Les ateliers de l éthique· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
SARS and Ethics
Mark Bernstein
2003· article· en· Healthcare Quarterly· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
venueaboutno affunlabeled
Éthique de la recherche : une responsabilité partagée
Thérèse De Groote, Anne-Marie Monteith, Francis S. Rolleston
2000· article· fr· Éthique Publique· Health Professions
machine prediction:candidate · metaresearch+research_integrityconsensus · none
3
citations
aboutno affunlabeled
Death with Dignity in Canada
Anna Vargo
2022· article· en· Voices in Bioethics· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Roman Catholic bioethics
Hazel Markwell, Barry F. Brown
2008· book-chapter· zh· Cambridge University Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Deontology
Deborah C. Poff
2023· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
Bioethics and Burnout: Unpacking the Relationship
Carey DeMichelis, Randi Zlotnik Shaul, Roxanne Kirsch
2024· article· en· Canadian Journal of Bioethics· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Giving credit where credit is due
Jane A. Davis, Helene J. Polatajko
2015· editorial· en· Canadian Journal of Occupational Therapy· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affno abstractunlabeled
Principles of Nursing in Kidney Care
2024· book· en· Principles of specialty nursing· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
Just family doctors
2025· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Moral Autonomy and Moral Training
Joseph S. Malikail, Jonathan Stewart
2018· article· en· Journal of educational thought.· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About