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 Technology Integration
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.

805 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.
805 works in the cohort · of 4,299,418page 7 of 17

Labels cover 2 of 805 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 805 of 805 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Four laws of Microsoft Teams
Matt McGuire
2023· article· en· Explorations in Media Ecology· Social Sciences
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
What Does It Mean to Empower Students to OWN Their Learning?
Rhonda Christian, Lynne N. Kennette, Melissa Bosomworth, Sue Hawkins
2020· article· en· Transformative Dialogues Teaching and Learning Journal· Social Sciences
distilled prediction:candidate · sts+research_integrityconsensus · none
2
citations
affno abstractunlabeled
Multiple Uses of Lesson Play
Rina Zazkis, Nathalie Sinclair, Peter Liljedahl
2012· book-chapter· en· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
2
citations
affaboutunlabeled
Growth of Online Schooling in Canada
Margaret Haughey
2005· book-chapter· en· IGI Global eBooks· Social Sciences
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
ICT and Language Learning at Secondary School
Diane Huot, France H. Lemonnier, Josiane F. Hamers
2008· book-chapter· en· IGI Global eBooks· Social Sciences
distilled prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Créativité et innovation avec le numérique
Normand Roy, Bruno Poëllhuber
2023· article· fr· Médiations et médiatisations· Social Sciences
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · insufficient_payload
1
citations
affno abstractunlabeled
E-Literacy for the Workforce: Designing Effective Instruction
Sonya Symons, Lisa Langille, Heather Hemming
2002· article· en· E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education· Social Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Mathematical learning and gesture
Susan Gerofsky
2012· book-chapter· en· Benjamins current topics· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
L'intelligence à l'école
Jean–Yves Fournier
2001· article· fr· Sciences Humaines· Social Sciences
distilled prediction:candidate · sts+insufficient_payloadconsensus · sts+insufficient_payload
1
citations

How this was built: Screen · Findings · About