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
Innovative Education and Learning Practices
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.

550 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.
550 works in the cohort · of 4,299,418page 2 of 11

Labels cover 1 of 550 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 550 of 550 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.

affunlabeled
Tasks, Ensembles, and Activity
Robert J. Bracewell, Stephen P. Witte
2003· article· en· Written Communication· Social Sciences
machine prediction:candidate · noneconsensus · none
43
citations
affaboutunlabeled
Growing Everyday Multiculturalism
Hongxia Shan, Pierre Walter
2014· article· en· Adult Education Quarterly· Social Sciences
machine prediction:candidate · noneconsensus · none
42
citations
aboutno affunlabeled
What is Practice in Teacher Education?
Matts Mattsson, Tor Vidar Eilertsen, Doreen Rorrison
2011· book-chapter· en· SensePublishers eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Virtual Communities of Practice
Kathryn Hibbert
2007· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Knitting as Metaphor for Work
Kaela Jubas, Jackie Seidel
2014· article· en· Journal of Contemporary Ethnography· Social Sciences
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
Learning in and for collective action
Joe Curnow, A. Susan Jurow
2021· article· en· Journal of the Learning Sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
37
citations
aboutno affunlabeled
Integrating CHAT and Action Research
Gordon Wells
2011· article· en· Mind Culture and Activity· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
32
citations
venueno affunlabeled
Expertise of Early Childhood Educators
Iiris Happo, Kaarina Määttä
2011· article· en· International Education Studies· Social Sciences
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
The Developmental Theory of Embodiment
Niva Piran, Tanya Luanne Teall
2013· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
Introduction to the Special Issue
William R. Penuel, Michael Cole, D. Kevin O’Neill
2016· article· en· Journal of the Learning Sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About