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Record W2160903502 · doi:10.1017/s0261143004000170

The promotional state and Canada's Juno Awards

2004· article· en· W2160903502 on OpenAlexaboutno aff
David Young

Bibliographic record

VenuePopular Music · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Political scienceIntervention (counseling)PoliticsGovernment (linguistics)Popular musicBroadcasting (networking)Media studiesAdvertisingPublic administrationPublic relationsSociologyLawBusinessArtLiteraturePsychology

Abstract

fetched live from OpenAlex

The scholarly literature on popular music has rarely addressed music awards shows and the role of the state with regard to popular music. In an effort to deepen what is known about both sets of issues, this article utilises the concept of a promotional state to examine Canada's Juno Awards. A promotional state employs state intervention to support domestic popular music, and the promotional state in Canada has been connected to the Junos in three ways (through Canadian content regulations, public broadcasting and government funding). The historical, political economic analysis in the article considers how the role of the promotional state has undergone changes with regard to the Juno Awards. There has been some ‘hollowing out’ of the promotional state's role since the Junos began in 1971, but the article contends that (in the interests of private capital) the role of this state has continued and even increased in some respects.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.447

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0120.006
Scholarly communication0.0080.001
Open science0.0010.003
Research integrity0.0010.002
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 head0.030
GPT teacher head0.251
Teacher spread0.221 · 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 designQualitative
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
Published2004
Admission routes1
Has abstractyes

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