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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.

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Diverse Music Education Insights
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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
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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 ·
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20002025
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Machine labels · sparse coverage
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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 17 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.

affno abstractunlabeled
Music in my ERs
Vincent Hanlon
2002· article· sl· Canadian Journal of Emergency Medicine· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Editorial
Adam Patrick Bell, Ran Jiang, Joel Martínez-Lorenzana
2023· editorial· en· Journal of Music Technology and Education· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Two Eyes/I
Karen Gerelus
2018· article· en· 2018 Conference of the Canadian Society for the Study of Education· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Music Genre Preference of Young Children
Young-ae Lee
2010· article· en· Early childhood education· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Editorial
Lloyd McArton, Adam Patrick Bell
2024· article· en· Journal of Music Technology and Education· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
The heart of teaching
Allan MacKinnon, Chris Moerman
2016· article· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Présentation des articles hors thème
2022· article· fr· Intersections Canadian Journal of Music· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Models of Collaboration and Community Music
Susan Helfter, Beatriz Ilari
2018· book· en· Oxford University Press eBooks· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
From Art Music to Heart Music
Fiona Evison
2024· book-chapter· en· Oxford University Press eBooks· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Lose Yourself in the Music
Thierry R. F. Middleton, Brennan Petersen, Cole E. Giffin, Robert J. Schinke
2020· book-chapter· en· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
fundvenueno affunlabeled
Digital Media Player Controls Supporting Music Education
Bruno Emond, Norman G. Vinson, Janice Singer, Marion A. Barfurfth, Gary Fernandes, Rachel White +3 more
2004· article· en· NPARC· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About