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Record W3206570633 · doi:10.1017/rma.2021.18

Music, Noise and Conflict: Sociotechnical Imaginaries, Acoustic Agency and Ontological Assumptions about Sound

2021· article· en· W3206570633 on OpenAlexafffund
Luis Velasco-Pufleau

Bibliographic record

VenueJournal of the Royal Musical Association · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsMcGill UniversityCentre for Interdisciplinary Research in Music Media and Technology
FundersSchulich School of MusicMcGill University
KeywordsAgency (philosophy)Sociotechnical systemSound (geography)Content (measure theory)Noise (video)Action (physics)SociologyAcousticsComputer scienceSocial scienceArtificial intelligenceMathematics

Abstract

fetched live from OpenAlex

In a 1969 interview, the Italian composer Luigi Nono stated that, 'If a score cannot provoke or incite revolution, it can contribute to it by participating in intellectual and revolutionary hegemony.' 1 Drawing on the work of Antonio Gramsci, Nono considered composers as intellectual workers with a responsibility to catalyse or amplify the social struggles of their times through the technical means and material employed in their works. 2 The scores, tapes or concerts were sites of action and representation of revolutionary struggles: 'A score can mature and evolve into direct and concrete participation of the struggle, which can be confronted and transposed into the score.' 3 He believed that the musical experience was capable of reconfiguring reality through dual listeningthe composer's listening to revolutionary struggle, and audiences' listening to the resulting musical works.

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 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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.063
GPT teacher head0.244
Teacher spread0.180 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes2
Has abstractyes

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