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Record W7117302157 · doi:10.1177/87551233251395680

“It’s Just Drilling the Skills for That Performance”: Music Educators, Social Justice, and the Performance Paradigm

2025· article· en· W7117302157 on OpenAlexaffabout
Justin D. Fraser

Bibliographic record

VenueUpdate Applications of Research in Music Education · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDominance (genetics)Music educationSocial justicePerceptionEconomic JusticeFocus (optics)Relation (database)

Abstract

fetched live from OpenAlex

In this article, I interrogate how music educators understand the importance of social justice education. Data was generated through interviews with 10 currently practicing Grade 7–12 music educators from Manitoba, Canada, and reflexively analyzed through poststructural and anti-colonial theoretical perspectives. Findings reveal that participants’ perceptions regarding the importance of social justice education are both constructed within and constrained by the dominant discourses of the Western classical ensemble paradigm. Specifically, because study participants are regulated by the expectation and normalized understanding that to be a music educator is to focus primarily on technical skill development in pursuit of performance excellence, the importance of social justice in relation to their roles as music educators is diminished and devalued. This article is significant in coming to know how the dominance of the performance paradigm potentially limits music educators’ willingness and ability to pursue social justice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.418

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.043
Scholarly communication0.0080.004
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.103
GPT teacher head0.367
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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