Étude de l’échelle musicale comme élément phylogénétique déterminatif des aires de culture : cas des aires de cultures musicales congolaises
Bibliographic record
Abstract
La musique africaine n’a jamais livré les secrets de son mystère à un chercheur donné, pour que soit construite sa musicologie dans le sens de l’évolution scientifique du terme. L’observation auditive mélodique des chants africains, permet de distinguer la mélodie de la musique d’un peuple à un autre. Le rythme est l’un des éléments distinctifs d’une musique. Mais, ici, nous soulignons l’aspect mélodique facilitant cette distinction. Notons que chaque culture musicale africaine a une identité mélodico-tonale définissant son aire culturelle. L’aire culturelle musicale est aussi une frontière identitaire entre peuples. Notre travail a pour objet de montrer la diachronie phylogénique et l’interculturalité musicales africaines.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".