An Experiential Learning of a Philosophy of Music Education Inspired by the Work of Canadian Composer R. Murray Schafer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Experiential learning is an educational approach that has been associated with different fields including music education, but rarely with philosophy. Our project consisted of a philosophical experience in action using the work of the Canadian composer R. Murray Schafer. In his Soundscape concept, all sounds in an environment become part of the music that surrounds us. Pre-service student teachers were introduced to his philosophy of music education through experiential learning rather than through a traditional lecture. Additionally, we followed three of them as they taught grades 3, 9 and 11. Our goal was to see to what extent experiential learning of philosophy could be an appropriate pedagogical tool in higher education. Our research question was: How can student-teachers construct their own understanding of a philosophy of music education after having experienced it from the perspective of a student and of a teacher? The following data were examined through collaborative thematic analysis of 1) an open question, 2) their own music composition following Shafer’s guidelines, and 3) their experience of teaching the children. Participants were able to explain in their own words the main components of Shafer’s view on music education, they described how they could use this vision in their own teaching and they identified specific outcomes (creativity, freedom, motivation and critical thinking) from using this approach. The conclusion was drawn that the experiential learning framework can be an appropriate tool for instructing topics that have traditionally been seen as purely theoretical.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it