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Record W3129026872 · doi:10.21810/strm.v12i1.283

Same as it ever was

2020· article· en· W3129026872 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueStream Interdisciplinary Journal of Communication · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsNarrativeNothingValue (mathematics)Music industryPosition (finance)Reset (finance)AdvertisingMedia studiesAestheticsVisual artsSociologyBusinessArtLiteratureComputer science

Abstract

fetched live from OpenAlex

In this paper, I outline how the “piracy panic narrative” (Arditi, 2015) has repositioned the fan/musician dynamic in the digital era, from one between maker and listener to one between labourer and thief. The paper questions if the press has fairly assessed the fan/musician dynamic in the digital era and examines who has directly benefited from the reorganization of the relations between producer and consumer. The article provides a contemporary history of the American and Canadian music industries’ response to file sharing, crisis and piracy. Drawing on data from the 2017 Music Canada report on the Value Gap, the essay ultimately concludes that those most affected by the repositioning of the producer/consumer dynamic are not the various stakeholders whose voices are most frequently heard, but actually the musicians. The piracy panic narrative is thus nothing but an exercise in creating smoke and mirrors; music industries depict themselves as victims, all the while quietly rearranging their business practices to maintain a long-held position as gatekeeper.

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.787
Threshold uncertainty score0.993

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.044
GPT teacher head0.288
Teacher spread0.244 · 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