Cross-cultural understanding: The role of rural school–community music education partnerships
Bibliographic record
Abstract
The inclusion of local Indigenous knowledge, pedagogy, and worldview in music education is increasingly relevant to music educators globally. This article contributes to the extensive body of knowledge already written on the subject by focusing on the contribution of such inclusion to localized societal change. My doctoral study examined the growth and contributions of bridging social capital to rural community vitality in British Columbia (BC), Canada via three school–community music education partnerships. I found that the members of one of those partnerships, the International Choral Kathaumixw Festival in Powell River, BC, engaged in ongoing cultural dialogue with local Tla’amin First Nation members over a 30-year period in order to foster meaningful inclusion of local cultural practices in that festival. This cultural dialogue ultimately contributed to more harmonious social, cultural, political, and economic relationships between settler and Tla’amin First Nation populations. The mandate of the festival, the ongoing music making activities that featured Tla’amin themes and cultural participation, the large contingent of local community volunteers and performers, and the physical commons created by music making all contributed to a shift in relations between the community of Powell River and the Tla’amin First Nation. I offer that the bridging social capital fostered by this partnership may provide insight and direction for music educators globally who wish to promote Indigenous cultural practices in their schools. A bridging social capital or relational approach based on long-term reciprocity with local Indigenous culture bearers may help music educators work towards more culturally appropriate/responsive curriculum and pedagogy in their practice.
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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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.025 | 0.032 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".