MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Educator Training and Historical Pedagogy
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.

2,029 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.
2,029 works in the cohort · of 4,299,418page 27 of 41

Labels cover 5 of 2,029 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 2,029 of 2,029 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 affno abstractunlabeled
PERSPECTIVES ON HISTORY AND THEORY
2001· book-chapter· en· Early childhood education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Teachers Walking Together for Truth and Reconciliation
Jennifer Tupper, Tana Mitchell, Jeremy Sundeen, Heather Findlay, Raeleen Fehr-Rose, Stephanie Rogers +2 more
2018· article· en· 2018 Conference of the Canadian Society for the Study of Education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Re-imagining Curriculum Studies in a Post-truth Era
David Scott, Debbie Sonu, James Field, Vicki Bouvier, Kent den Heyer
2018· article· en· 2018 Conference of the Canadian Society for the Study of Education· Social Sciences
machine prediction:candidate · stsconsensus · none
0
citations
affvenueunlabeled
Abstracts
Encounters Online Editor
2008· article· en· Encounters in Theory and History of Education· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueaboutunlabeled
U‐Haul Truck
Carl Leggo
2007· article· en· Journal of the Canadian Association for Curriculum Studies· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
The Ambivalences of Learning to Be Canadian
2009· book-chapter· en· McGill-Queen's University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Making History
Kristin S. Williams, Chantelle Falconer
2025· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About