Bibliographic record
Abstract
Les Scènes metal Les Scènes métalVolume !no 5-2 Ce numéro de Copyright Volume !est consacré aux scènes metal.Il comprend cinq articles scientifiques, deux entretiens approfondis, cinq notes de lecture et une bibliographie des études métal qu'on a voulu la plus complète possible.Fidèles à la perspective de la revue, les contributions se penchent sur le metal à partir de lectures pluridisciplinaires (musicologie, ethnomusicologie et sociologie) et internationales (France, Espagne, États-Unis, Finlande, Maroc et Taïwan).Une ouverture théorique raisonnée est en effet de mise si l'on considère, en suivant la lecture épistémologique de Jean Claude Passeron, que les sciences sociales « compensent le caractère toujours recommencé de leurs interprétations et la forme "interminable" de leurs intelligibilités "en écheveau" par leur teneur en phénoménalité historique et culturelle » (Passeron, 1990).Dans une perspective constructiviste, on considèrera en effet qu'il n'existe pas de lecture définitive d'un sujet mais une somme d'analyses théoriques qui se croisent et se superposent permettant, in fine, de mieux cerner et appréhender le phénomène social étudié.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.093 | 0.016 |
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".