Les fonds sonores de l’ancien musée national des Arts et Traditions populaires : collections ou archives ?
Bibliographic record
Abstract
Cet article traite de la problématique engendrée par le changement du statut des enregistrements ethnomusicologiques du musée national des Arts et Traditions populaires entrés comme « collections » inscrites à l’inventaire du musée et requalifiées en « archives scientifiques » suite à leur versement aux Archives nationales en 2013. L’autrice explique ce qui a justifié l’attribution de ce statut d’objet dans le contexte de la construction du musée-laboratoire alors qu’émerge dans les années 1930 une nouvelle discipline, l’ethnologie de la France, dont le musée se veut être le fer de lance. À travers l’exemple de ces données sonores (pour utiliser un terme neutre) dont la constitution est le fondement de la discipline née en France dans les musées, il est question d’évoquer les enjeux dont ils sont l’objet et d’aborder le processus patrimonial qui les transforme en « témoins culturels immatériels ».
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".