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
Educational Games and Gamification
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.

1,648 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.
1,648 works in the cohort · of 4,299,418page 11 of 33

Labels cover 5 of 1,648 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 1,648 of 1,648 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
InSPAL: A Novel Immersive Virtual Learning Programme
Julia Byrne, Horace H. S. Ip, Chen Li, Amy Tso, Catherine Choi
2015· article· en· Studies in health technology and informatics· Psychology
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
USING VIDEO GAMES IN COMPUTER SCIENCEEDUCATION
Fan Zhang, David Kaufman
2014· article· en· European Scientific Journal ESJ· Psychology
distilled prediction:candidate · insufficient_payloadconsensus · none
10
citations
fundno affunlabeled
Modeling Player Engagement with Bayesian Hierarchical Models
Robert G. Sawyer, Jonathan Rowe, Roger Azevedo, James C. Lester
2018· article· en· Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment· Psychology
distilled prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Making Serious Programming Games Adaptive
Michael A. Miljanovic, Jeremy S. Bradbury
2018· book-chapter· en· Lecture notes in computer science· Psychology
distilled prediction:candidate · metaepi_narrowconsensus · none
10
citations
affunlabeled
Game-based assessment for education
Jack Buckley, Laura Colosimo, Rebecca Kantar, Marty McCall, Erica L. Snow
2021· book-chapter· en· Digital education outlook· Psychology
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
9
citations
affunlabeled
Analog Serious Games for Medical Education: A Scoping Review
Sarah Edwards, Aryana Zarandi, Michael Cosimini, Teresa M. Chan, Monica Abudukebier, Mikaela L. Stiver
2024· review· en· Academic Medicine· Psychology
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
9
citations
affunlabeled
Exertion in the small
Mike Sheinin, Carl Gutwin
2014· article· en· Psychology
distilled prediction:candidate · noneconsensus · none
8
citations
← previousnext →

How this was built: Screen · Findings · About