Les sources ethnomusicologiques des Arts et Traditions Populaires aux Archives nationales, valorisation numérique d’un patrimoine unique
Bibliographic record
Abstract
Pendant cinq décennies Claudie Marcel-Dubois et Maguy Andral, figures incontournables de l’ethnomusicologie au Musée des Arts et Traditions populaires, collectent un matériel d’étude d’une grande richesse et d’une grande diversité, abordant les pratiques musicales, la facture et l’organologie sur la presque totalité du territoire métropolitain français et dans certaines terres d’outre-mer. À la veille de redéployer ses collections à Marseille, le Musée des Arts et Traditions populaires (devenu MuCEM en 2005) lance une vaste opération de sauvegarde des archives. L’article apporte un éclairage particulier sur les archives ethnomusicologiques qui tiennent, dans cet ensemble, une place éminente. Dans le cadre d’un partenariat entre les Archives nationales, une équipe du IIAC (laboratoire d’anthropologie CNRS-EHESS) et MuCEM, la numérisation des archives écrites, des photographies et des enregistrements sonores, est en voie d’achèvement, prochainement accessibles sur Internet. L’éventail des possibilités d’interrogation et d’exploitation qu’ouvrira la dématérialisation d’un fonds sans équivalent pour l’ethnomusicologie en France est très vaste.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.013 | 0.029 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".