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
Education and Critical Thinking Development
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.

2,368 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.
2,368 works in the cohort · of 4,299,418page 33 of 48

Labels cover 9 of 2,368 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 2,368 of 2,368 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.

affno abstractunlabeled
Book review: New philosophies of learning
Bruce Maxwell
2012· article· en· Theory and Research in Education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Our Most Important Knowledge
J. T. Trevors, Milton H. Saier
2008· article· en· Water Air & Soil Pollution· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Nature versus Nurture
Deepa Thadani
2015· article· en· Motifs A Peer Reviewed International Journal of English Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Does philosophy kill culture?
Jason Chen, Susan T. Gardner
2020· article· en· Journal of Philosophy in Schools· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Book review: Perspectives on Flourishing in Schools
Victoria Handford, B. Josephson
2019· article· en· Canadian Journal of Educational Administration and Policy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Ways of Learning
Juliette Kajuga
2012· article· en· Divergent/Convergent· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Teacher Education and Observational Feedback
Amanda Fulford
2009· article· en· Edge Hill University Research Information Repository (Edge Hill University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Pride and learning in reverse
Nicholas Pimlott
2025· editorial· en· Canadian Family Physician· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial: student affairs in complex contexts
Birgit Schreiber, Teboho Moja, Thierry M. Luescher
2016· editorial· en· DOAJ (DOAJ: Directory of Open Access Journals)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Book Review: Learning without Limits
Johanne Provençal, Heesoon Bai
2006· article· en· Theory and Research in Education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Teaching Controversy
Judith Ableser
2006· article· en· Journal of Teaching and Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Toward a Curriculum of Internality
Adrian M. Downey
2018· article· en· 2019 Conference of the Canadian Society for the Study of Education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Discussion
Michael Kroth, Patricia Cranton
2014· book-chapter· en· SensePublishers eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Learning as Objectification
Wolff‐Michael Roth, Luis Radford
2011· book-chapter· en· SensePublishers eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About