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Record W3024947208 · doi:10.1525/jpms.2018.200015

Promoting Social Change Through Audio Repetition1

2018· article· en· W3024947208 on OpenAlexaboutno aff
B. Lee Cooper

Bibliographic record

VenueJournal of Popular Music Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamDominance (genetics)Repetition (rhetorical device)Popular musicWhite (mutation)Visual artsQuarter (Canadian coin)Period (music)Social changeHistoryAestheticsArtSociologyMedia studiesPolitical scienceLinguisticsLaw

Abstract

fetched live from OpenAlex

The development of contemporary American music is clearly reflected in the integration of black composers, performers, and their songs into mainstream popular record charts. Between 1953 and 1978 a fascinating role reversal occurred. During that quarter century black artists shifted from creators to revivalists. The same role reversal did not apply to white artists, who tended to evolve along a more consistent audience-acceptance continuum. How can this 25-year cycle of social change best be illustrated? What particular elements of black music dramatically entered the pop spectrum during the fifties, and later gained dominance by the end of the sixties? Why did black artists become more and more conservative during the late seventies? A careful examination of audio repetition – cover recordings and song revivals – offers a great deal of revealing information about changes in social, economic and artistic life in America after 1953.

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)0.003
metaresearch head score (Gemma)0.008
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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0030.002
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.247
GPT teacher head0.322
Teacher spread0.075 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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