Bibliographic record
Abstract
El Sistema music programmes have blossomed over the past decade, with the aim of fostering social development through intensive orchestral music instruction. Many scholars agree that creative music making can facilitate student agency development, increase a sense of belonging and promote creative expression by allowing students to bring their perspectives to the learning context. With these benefits apparent, it seems rational that El Sistema should incorporate creative music making into its curriculum. To build understanding of how creative music approaches function in some programmes, I used a multiple qualitative case study to examine eight teachers’ perspectives of creative music making within El Sistema and after-school music programmes in Canada and the United Kingdom. Findings revealed that teachers conceptualized creative music making as activities that develop agency through collaborative music creation, that have the benefit of creating a sense of belonging and that give students the opportunity to contribute to their community. Successful nurturing of creative music making seems to rely on connecting students to their wider community, which is achieved in part through incorporating students’ own musical tastes. Teachers’ experiences with creative music making in their own music education played a crucial role in preparing them to teach creative 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".