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Record W2918067561 · doi:10.1177/0255761419827359

Embracing identity: An examination of non-Western music education practices in British Columbia

2019· article· en· W2918067561 on OpenAlexafffundabout
Beth Tuinstra

Bibliographic record

VenueInternational Journal of Music Education · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMusic educationCurriculumPedagogyIdentity (music)Western culturePsychologyMusic GeographyEmpathySingingSociologyMusic historyHistoryAestheticsSocial psychologyArt

Abstract

fetched live from OpenAlex

Although traditional music programs and university music and music education training programs have mostly incorporated Western classical music, British Columbia’s new curriculum signifies a shift from the Western classical framework to one that is more inclusive of the cultural diversity that exists in Canada. Using the frameworks of decolonization, non-Western music education, and music education and identity, I researched the current practices, experiences, and attitudes of British Columbian kindergarten to Grade 12 (K–12) music educators. I used a mixed-methods questionnaire to gain an understanding of the practices, experiences, and attitudes of these educators ( N = 80). Through this examination, I discovered that although 84% of respondents felt that it was important for students to receive a diverse, non-Western music education, only 63% currently utilized non-Western musics in their teaching practices. Respondents included the benefits or difficulties that they have experienced while including non-Western musics in their teaching practices, but they also talked about the barriers that have prevented them from including non-Western musics into their teaching practices. However, educators reported that by including non-Western musics, students showed greater joy, self-expression, engagement, open-mindedness, and empathy for others, causing a positive shift in classroom culture.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.006
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.049
GPT teacher head0.310
Teacher spread0.261 · 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 teacher head, not a consensus.

Study designObservational
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

Citations11
Published2019
Admission routes3
Has abstractyes

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