Création musicale, World Music et diversité culturelle : la musique comme outil d’intelligibilité anthropologique
Bibliographic record
Abstract
Faire de la musique un outil d’intelligibilité anthropologique, telle est l’ambition de ce séminaire que Denis Laborde porte depuis une vingtaine d’années à l’EHESS. Ambiance campus international. Multilingue, studieux et bon enfant, retardataires adossés aux fenêtres, ou assis à même le sol: biotope solidaire, participatif et portes ouvertes. À mesure de ses vingt années d’existence, se croisent ici des opérateurs culturels et des administrateurs, des philosophes d’inspiration analytique, des sociologues, des compositeurs, des musicologues, des artistes inclassables, des ethnomusicologues, des ethnologues, des géographes, des architectes, des juristes, tous réunis autour d’un thème en commun érigé en outil de connaissance, l’anthropologie de la musique.Denis Laborde trace l’histoire intellectuelle de ce séminaire. Elle mène d’une ethnologie des musiques de tradition orale aux politiques d’urbanisme qui font aujourd’hui de la musique un catalyseur de convivialité, en passant par des questions d’ontologies musiciennes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".