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Record W2802286235 · doi:10.4000/transposition.1701

Le virage numérique, un tournant pour l’étude des musiques populaires ?

2018· article· fr· W2802286235 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

VenueTransposition · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Analysant certains effets de la numérimophose – c’est à dire le basculement du régime analogique au régime numérique –, cet article est aussi prétexte à une mise en perspective de mes propres travaux sur la musique, dans le sillage théorique ouvert notamment par Jack Goody lorsqu’il interroge le paradigme déterministe, ou en encore lorsqu’il examine les effets induits par l’innovation technologique. Après avoir rappelé ce qu’avaient de spécifiques les conditions d’émergence de l’analyse des musiques « populaires » (encore qualifiées d’ « actuelles » ou d’ « électro-amplifiées », variations sémantiques expressives des débats qui traversent le champ lorsqu’il s’agit de définir et donc de légitimer ces musiques et leur étude) dans le contexte hexagonal, cet article interroge les effets du virage numérique non seulement sur les acteurs et les dispositifs (musiciens, ingénieurs du son, samplers, home-studios, etc.), mais encore sur les auditeurs eux-mêmes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.017
GPT teacher head0.214
Teacher spread0.197 · 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