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Record W110639048 · doi:10.15173/mjc.v3i0.233

The Control and Dissemination of Music in Corporate Controlled Markets

2006· article· en· W110639048 on OpenAlex
Robert Petti

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe McMaster Journal of Communication · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsMcMaster University
Fundersnot available
KeywordsControl (management)BusinessEconomicsManagement

Abstract

fetched live from OpenAlex

For the radio industry, music has become a tool for attracting listeners with the purpose of providing a specific demographic audience for corporate advertisers. As profit increasingly becomes a predominant focus, individual artistic expression and limited opportunity become a growing concern for aspiring musicians, producers and songwriters. This essay begins by demonstrating what hopeful artists often encounter when they begin their journey within the realm of the music business. It will be argued that artistic integrity often becomes compromised in a business where powerful gatekeepers often shape and dictate cultural trends that optimize consumer consumption. This essay will explore how illegal business practices flourish, as payola (pay for play) becomes a way of securing limited airplay within a radio station’s playlist. In a business where music is regularly selected for its profit potential, music has become a way of shaping popular culture rather than reflecting its true nature.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.609
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.211
Teacher spread0.191 · 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