Bibliographic record
Abstract
On commence à mesurer aujourd’hui quels effets peuvent produire, dans le champ artistique, l’idée de « mondialisation » ; mais un seul art dispose déjà d’un vocable directement adapté à la situation : la musique, avec la catégorie de « world music ». Encore largement ignorée des musicologues –en raison de sa proximité ambiguë aussi bien avec la « variété » qu’avec les musiques dites encore « traditionnelles » - la « world-music est pourtant, en dépit de son extrême vulgarisation, un nouveau concept (au sens à la fois esthétique et commercial) qui demande à être pensé pour lui-même. Le présent article entend interroger, à travers lui, quelques formes inédites de collusion entre champ musical et (géo)politique, mythes post-modernes et réalités récentes (humanitaire, technologie). Il espère aussi y repérer la naissance d’un nouveau « symbole du monde » (au sens d’Eugène Fink), auquel seul le médium-musique peut donner consistance.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".