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Record W2085406125 · doi:10.1177/016344370202400206

Country music and cultural industry: mediating structures in transnational media flow

2002· article· en· W2085406125 on OpenAlexaffabout
Bram Dov Abramson

Bibliographic record

VenueMedia Culture & Society · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsConcordia University
Fundersnot available
KeywordsTasteContext (archaeology)Popular musicCreative industriesConsumption (sociology)SociologyMusic industryAdvertisingBusinessPolitical scienceHistoryLawSocial scienceLiteraturePsychology

Abstract

fetched live from OpenAlex

As popular music genre, Americanness is one of the things country music signifies. The popular music industries are an integral component of an emerging global media environment, however. What happens to country music when it is in another country? This is a question in two parts. The first asks how local cultural practices interlock with the industrial structures through which generic conventions and taste formations can circulate transnationally. The second asks how this genre is fed back through the institutional channels which are contiguous with national borders. In the context of transnational media flow, increased attention to the role played by the national adjective - here, Canadian country music - can therefore help identify mediating structures and, in the process, point out the role of media policy in cultural industry. State policy as mediating structure is not in itself a useful thing, however. This article theorizes the nation as the site of a state apparatus whose goal is to ensure a space in which cultural producers’ relationships with institutions are not only structured but also structuring - to intervene in the plays of affect and taste which characterize culture’s production, consumption, and the circuit which binds them.

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 score0.645
Threshold uncertainty score0.988

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.034
GPT teacher head0.206
Teacher spread0.172 · 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

Citations11
Published2002
Admission routes2
Has abstractyes

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