Ce que les sociabilités font à l’écoute musicale. Le cas des Eurockéennes de Belfort
Bibliographic record
Abstract
Par leur configuration singulière, les festivals de musiques actuelles offrent un espace d’observation singulier où l’écoute musicale se trouve prise au travers d’un jeu de sociabilités complexes avec lesquelles elle interagit en permanence. En partant d’une enquête réalisée en 2010 sur les publics des Eurockéennes de Belfort, cet article interroge la place de l’écoute musicale dans l’expérience festivalière, en montrant comment elle se négocie avec d’autres impératifs de la sortie au festival : être ensemble, rencontrer des gens, faire la fête... L’écoute musicale y est abordée à travers deux axes. D’abord, en présentant le faisceau des sociabilités ordinaires qui lui sont associées, la venue à un festival étant rarement solitaire. Ensuite, en montrant comment cohabitent différentes communautés de goûts, et comment la bannière du « rock » offre un espace agrégatif de genres musicaux variés où la situation collective d’écoute instruit un rapport plus attentif à l’altérité.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".