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
Global Education and Multiculturalism
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.

1,823 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.
1,823 works in the cohort · of 4,299,418page 28 of 37

Labels cover 5 of 1,823 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 1,823 of 1,823 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.

affaboutunlabeled
Teaching in China
Tanya Lebans, Margie Radigan
2018· article· en· The Rural Educator· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Citizen In/Action
Tieja Thomas, Nicole Fournier-Sylvester, Vivek Venkatesh
2015· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Experiences of (new) International Teachers
James S. Budrow
2018· article· en· 2018 Conference of the Canadian Society for the Study of Education· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Citizenship @ the Edge of Two Worlds
Robert McGray, Tieja Thomas
2015· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Book Review
Jan Sobocan
2006· article· en· Comparative and International Education· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Implications and Conclusions
Wisam Kh. Abdul-Jabbar
2019· book-chapter· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
EQUITY AND INCLUSIVE EDUCATION
2015· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Globaalikasvatus avaa ikkunoita maailmaan
Lea Houtsonen
2010· article· fi· Doria (University of Helsinki)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
HISTORICAL VIGNETTE: Dr T Michael Maybury
Niall Nelson
2013· article· en· International schools journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About