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
Music Therapy and Health
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.

1,067 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.
1,067 works in the cohort · of 4,299,418page 18 of 22

Labels cover 1 of 1,067 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 1,067 of 1,067 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
Slowing Down
Nathan Moore
2021· article· en· Critical Studies in Improvisation / Études critiques en improvisation· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Violins of Hope
Marjorie Lee Jacobs
2016· article· en· Music and Medicine· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Music, Brain and Health
Ante L. Padjen
2020· article· en· International Journal of Whole Person Care· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Music and Phenomenology
Maryam A. Moshaver
2025· book-chapter· en· Oxford University Press eBooks· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
When Singing Is Deadly
Nicola Oddy, Rebecca Worden
2021· article· en· Critical Studies in Improvisation / Études critiques en improvisation· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Une entrevue avec Marianne Bargiel
Guylaine Vaillancourt
2010· article· fr· Voices A World Forum for Music Therapy· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Music-in-Becoming
Edvin Østergaard
2022· article· en· Phenomenology & Practice· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Music Therapy
Marc J. Lanovaz, Ioulia Koniou, Eve‐Marie Quintin
2025· book-chapter· en· Oxford University Press eBooks· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Very Urgent
Karl Alfonso Evangelista
2021· article· en· Critical Studies in Improvisation / Études critiques en improvisation· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About