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Record W2948166653 · doi:10.4000/volume.6481

Les spécificités culturelles de la production de musique metal. Le cas de l’industrie de la musique live en France

2019· article· fr· W2948166653 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueVolume ! · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsRéseau Technoscience
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Au-delà de la réception et du partage de la culture metal, on peut se demander quelles sont les spécificités culturelles des processus de production de la musique metal par rapport aux autres musiques populaires, si elles existent. Notre travail en cours porte plus précisément sur la question de la musique live. Comment fonctionne l’économie du concert metal en France ? Y a-t-il des particularités dans le fonctionnement de la chaine de production du metal ? Existe-t-il des acteurs spécifiques ? On montrera que, depuis le début des années 2000, on assiste à une croissance de l’offre d’événements associés au metal et d’entreprises impliquées dans la production de cette musique. Toutefois, une visibilité et un succès plus grands semblent incertains car la légitimité du metal est en partie construite sur un plébiscite restreint dans l’espace public.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.023
GPT teacher head0.287
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it