Meguru Panggul and Meguru Kuping; The Method of Learning and Teaching Balinese Gamelan
Bibliographic record
Abstract
“True musical experience is the experience of trust”—trust between the student and teacher. Whatever teaching method a teacher applies, it will not work without any trust. “It is only when we learn to trust one another, to dissolve in the realization of our shared humanity, will the music finally play.” This is an autoethnography. It exhibits the long process of musicianship in a traditional Balinese community. Also, I explore how, as a modern Balinese musician, my musicianship fit in with the new musical setting of a Western community. The paper is divided into three parts: the first part is an exploration of the traditional learning process and Balinese musical pedagogy called meguru panggul. The second is an exploration of my experience in continuing my studies at ISI Denpasar (the Balinese Arts Institute)— how the teacher conducts the learning process in a formal setting, and my own discovery in learning with ear (meguru kuping). And lastly, the third explores the development of my perception and conception of a new learning and teaching style, when I was exposed to the Western way of teaching and learning music at the University of British Columbia, Vancouver, Canada.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".