Cultural Diversity, Ecodiversity, and Music Education
Bibliographic record
Abstract
Abstract Diversity discourses in music education tend toward anthropocentrism, focusing on human cultures, identities, and institutions. In this chapter, we broaden conceptualizations of diversity in music education to include relationships between music, education, and ecology : understood as interactions among organisms and the physical environment. Diversity in music education can be realized by attending to the ongoing interrelationships of local geography, ecology, and culture, all of which contribute dynamically to local music practices. We situate our analysis within specific Indigenous North American cultures (e.g., Western Apache, Nuu-chah-nulth, Stó:lō, and Syilx) and associated perspectives and philosophies to shed light on the multiple forms of reciprocity that undergird diversity. Indigenous knowledge, in combination with new materialism and political ecology discourses, can help us come back down to earth in ways of being and becoming that are ecologically sustainable, preserving the ecodiversity that exists and grows in place, forging egalitarian relationships and a sense of communal responsibility, fostering reverence for ancestors along with nonhuman lives and topographies, and cultivating musical practices that are one with our respective ecosystems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".