From Necker Cubes to Polyrhythms: Fostering a Phenomenological Attitude in Music Education
Bibliographic record
Abstract
Phenomenology is explored as a way of helping students and educators open up to music as a creative and transformative experience. I begin by introducing a simple exercise in experimental phenomenology involving multi-stable visual phenomena that can be explored without the use of complex terminology. Here, I discuss how the “phenomenological attitude” may foster a deeper appreciation of the structure of consciousness, as well as the central role the body plays in how we experience and form understandings of the worlds we inhabit. I then explore how the phenomenological attitude may serve as a starting point for students and teachers as they begin to reflect on their involvement with music as co-investigators. Here I draw on my teaching practice as a percussion and drum kit instructor, with a special focus on multi-stable musical phenomena (e.g., African polyrhythm). To conclude, I briefly consider how the phenomenological approach might be developed beyond the practice room to examine music’s relationship to the experience of culture, imagination and “self.”
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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 | 0.017 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.048 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".