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Record W1907374615 · doi:10.4000/volume.3808

Consommer la musique à l’ère du numérique : vers une analyse des environnements sonores

2013· article· fr· W1907374615 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 ! · 2013
Typearticle
Languagefr
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Cette note de recherche porte sur l’analyse qualitative de la consommation musicale à l’ère du numérique. À travers l’examen des interactions entre les individus et la musique, j’argue que les analyses « écologiques » et « constructivistes » sont trop restreintes, en ce qu’elles ne tiennent pas compte de l’éclectisme grandissant des pratiques technologiques. En effet, les modes de consommation hétérogènes remettent la matérialité des supports d’écoute au centre des questions de réception de la musique. En conséquence, il convient d’introduire la matérialité des objets afin de comprendre les modes de consommation contemporains ainsi que les affects musicaux.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
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
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.016
GPT teacher head0.224
Teacher spread0.208 · 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