Disrupting the status quo: Educating pre-service music teachers through culturally relevant pedagogy
Bibliographic record
Abstract
Scholars theorizing in the area of social justice and music education argue that music has the potential to prepare students to engage in a society that cultivates personal freedom and democratic participation. The continued reliance on values and practices of Western art music within music teacher education has resulted in a disconnect between this discourse and professional practice. The status quo perpetuates conditions that limit accessibility, privilege western art music and maintain whiteness as ‘normal’. In this article, I suggest that this disconnection can be addressed by introducing culturally relevant pedagogy within music education training programmes. Culturally relevant pedagogy, focusing on reflexive practice and place-based education, requires pre-service music educators to think deeply about experiences of marginalized music education students and critically examine the values and beliefs they hold. Embedding the values of culturally relevant pedagogy within music education training creates space for music from different cultural contexts including popular music.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.014 | 0.029 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".