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Record W2927170199 · doi:10.1080/02690403.2019.1575593

Remediating Modernism: On the Digital Ends of Montreal's Electroacoustic Tradition

2019· article· en· W2927170199 on OpenAlexfundaboutno aff
Patrick Valiquet

Bibliographic record

VenueJournal of the Royal Musical Association · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaEuropean CommissionUniversity of OxfordFP7 Ideas: European Research CouncilAustralian Government
KeywordsMediationElectroacoustic musicAgency (philosophy)SociologyModernism (music)IdeologyMusicalPower (physics)Media studiesAestheticsEthnographyVisual artsArtPolitical scienceSocial scienceLawAnthropologyPolitics

Abstract

fetched live from OpenAlex

Abstract This article examines ongoing efforts to associate the decline of the modernist electroacoustic music tradition with the rise of digital technologies. Illustrative material is drawn from ethnographic and archival fieldwork conducted in 2011 and 2012 in the Canadian city of Montreal. The author surveys examples of institutions, careers, performances and works showing how the digital is brought into the ideological service of existing musical orders and power structures by musicians, policy-makers and other intermediaries. Drawing upon the social theories of Pierre Bourdieu and Georgina Born, as well as on contemporary media theory, the author argues that accounts of the disruptive agency of digital mediation are incomplete without a corresponding attention to the complex cultural mechanisms by which it is kept under control. What is at stake in the transformation of Montreal's electroacoustic tradition is not a collapse so much as a further remediation of modernist social and aesthetic principles.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.188
Threshold uncertainty score0.379

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0120.034
Scholarly communication0.0090.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.012
GPT teacher head0.170
Teacher spread0.158 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations3
Published2019
Admission routes2
Has abstractyes

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Same venueJournal of the Royal Musical AssociationSame topicMusic History and CultureFrench-language works237,207