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
Indigenous Studies and Ecology
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.

8,389 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.
8,389 works in the cohort · of 4,299,418page 80 of 168

Labels cover 25 of 8,389 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 8,389 of 8,389 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.

venueaboutno affunlabeled
Andrew Hall Macpherson (1932-2002)
Frank L. Miller
2002· article· en· ARCTIC· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affno abstractunlabeled
Inuit Responses to Arctic Militarization:
Sophie Elixhauser
2018· book-chapter· en· Berghahn Books· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Caribou
A. T. Bergerud
2021· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Peopling of the Western Hemisphere
Norman C. Rothman
2016· article· en· ScholarsArchive (Brigham Young University)· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Inuguat
William W. Fitzhugh, Bernadette Driscoll Engelstad
2017· book· en· Oxford University Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Some SLiCA project results from Chukotka
Larisa Abryutina
2009· article· en· Études/Inuit/Studies· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Developing an Ethnographic Community‐Based Participatory Research Dementia Study with Diverse Indigenous Populations: Indigenous Cultural understandings of Alzheimer’s disease and related dementias – Research and Engagement (ICARE) project
Melissa Blind, Wayne Warry, Nickolas H. Lambrou, Karen Pitawanakwat, Dana Ketcher, Collette Pederson +12 more
2022· article· en· Alzheimer s & Dementia· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Changements climatiques et communautés inuit
Sébastien Pelletier, Caroline Desbiens
2010· book-chapter· fr· Presses de l'Université du Québec eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Muskox Land
Lyle Dick
2001· book· fi· University of Calgary Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Diminished Returns
2020· article· en· Ontario History· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About