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Record W2127593635 · doi:10.1177/0002764205277647

Digital Recording and the Reconfiguration of Music as Performance

2005· article· en· W2127593635 on OpenAlexaffabout
Jan Marontate

Bibliographic record

VenueAmerican Behavioral Scientist · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsAcadia University
Fundersnot available
KeywordsPerformative utteranceDigital audioMusicalMusic industryPopular musicMusic technologyCharacter (mathematics)Visual artsContemporary classical musicSociologyAestheticsArtComputer scienceMusic educationTelecommunicationsAudio signal

Abstract

fetched live from OpenAlex

Digital technologies are transforming the lived experience of music in ways that may recon- figure relations between creators, mediators, and publics. Many uses of recorded popular music in the 20th century emphasized the canonical character of recordings rather than the performative nature of music making; it was no longer necessary to make music or be around musicians to hear music. Recently, digital technologies and their attendant creative practices have allowed for the reemergence of musical works as practices rather than objects. This article examines the experiences of musicians and audio technicians in a music technology program at a rural Canadian university.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.974
Threshold uncertainty score0.999

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.235
Teacher spread0.211 · 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.

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

Citations14
Published2005
Admission routes2
Has abstractyes

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