Beyond musical repertory: Euro-Americentric ways of knowing in the International Baccalaureate high school music curriculum framework
Bibliographic record
Abstract
While choices of musical repertory are key to challenging the historical ethnocentrism of school music curricula, ethnocentrism manifests as powerfully in the way a curriculum defines and structures musical knowledge. This article examines the knowledge divisions used to structure one of the most popular and reputable high school music curricula worldwide: the International Baccalaureate (IB). My analysis indicates that, while IB music gestures rhetorically to cultural and epistemic pluralism, its primary knowledge divisions—Musical Perception, Creating, and Performing—are fundamentally rooted in modern Euro-American conceptions of musical knowledge and ways of knowing. This study demonstrates the importance of explicitly acknowledging the epistemic foundations of music curricula’s foundations so that teachers and their students can better decide how they want to engage with the knowledge presented.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.039 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".