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
Diverse Music Education Insights
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.

1,227 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.
1,227 works in the cohort · of 4,299,418page 13 of 25

Labels cover 0 of 1,227 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 1,227 of 1,227 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 affunlabeled
Harmonizing identities
Nira Rahman
2025· article· en· International Journal for Students as Partners· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
ZeneZen, Creative Piano Pedagogy
Tuğba ÇAĞLAK EKER
2022· article· en· International Education Studies· Arts and Humanities
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Music's Influence on Empathy
Keara Moore
2019· article· en· ODU Digital Commons (Old Dominion University)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
EDITORIAL
Estelle R. Jorgensen
2022· editorial· en· Philosophy of Music Education Review· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Technology in Music Education
Steve Giddings
2022· book-chapter· en· Oxford University Press eBooks· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Rhythmic Self-Entrainment. A Panacea
Jacqueline Leclair
2025· article· en· Revue musicale OICRM· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About