Troubling Transcultural Practices: Anti-Colonial Thinking for Music Education
Bibliographic record
Abstract
Transcultural pedagogy, or what is often described as world music pedagogy, in U.S. and Canadian classrooms often utilizes an extractive logic, serving to essentialize culture, invisibilize logics that are incongruent to European, Canadian, and U.S.-centric epistemologies, and uphold the goal of white assimilation under the guise of multiculturalism.As former K-12 music educators, now in higher education, we worry about the potential for music teachers to engage in "world music" in the classroom via a touristic model.In this paper, we trouble practices we identify as transcultural in music education, drawing on anti-colonialism as a theoretical framework to trouble the colonial dynamics in these music education practices.We ultimately aim to construct an ethical approach to world music pedagogy through the use of narrative and counterfactual history.
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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 | 0.014 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.027 | 0.132 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".