Sciences cognitives et traditions d’enseignement oral de la musique classique indienne
Bibliographic record
Abstract
La musique classique indienne est l’une des plus anciennes traditions musicales au monde et c’est une tradition orale. Plusieurs techniques et méthodes d’enseignement lui sont spécifiques, notamment la tradition d’enseignement maître-élève (Guru-Shishya Parampara), qui a toujours été considérée comme un élément crucial de cet enseignement depuis ses origines à l’ère védique (environ 5 000 ans av. J.-C.). Le guru joue un rôle majeur en transmettant non seulement son savoir technique sur le sujet, mais également ce qui constitue l’essence même de la musique classique indienne, à savoir sa dimension spirituelle. Des travaux de recherche plus systématiques sur cette tradition musicale et ses méthodes d’enseignement spécifiques pourraient permettre d’éclairer d’un jour nouveau la compréhension de ses bénéfices globaux dans une perspective psychosociale et neuroscientifique.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".