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Record W2050545740 · doi:10.1558/pomh.2006.1.3.285

Conflict and collaboration

2004· article· en· W2050545740 on OpenAlexaff
Eamonn Forde

Bibliographic record

VenuePopular Music History · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsIntermediaryNegotiationInscribed figureSociologyMusic industryParticipant observationPublic relationsMedia studiesPolitical scienceSocial scienceMusic educationPedagogyBusinessMarketing

Abstract

fetched live from OpenAlex

This article considers the organizational, socio-professional and cultural links between press officers (PRs) and music journalists working in the UK music industry and music press in the late 1990s. Drawing on extensive fieldwork and first-hand interviews, the article analyses how these industry professionals co-existed as ‘cultural intermediaries’ and were required to negotiate a complex set of institutional and personal relationships. As both Bourdieu (1986; 1993) and Negus (1996) have argued, the socio-professional worlds of cultural intermediaries are tightly interconnected and heavily self-referential. This article argues that within the music industry and music press there was a clear, and indeed intentional, blurring of the boundaries between the formal and the informal in how these two organizationally distinct professions worked and socialized together. The occupational dynamics of these two groups became inscribed within a complex cultural and professional exchange that operated and was maintained simultaneously on a formal and an informal level.

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)0.018
metaresearch head score (Gemma)0.035
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 score0.021
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0160.029
Scholarly communication0.0190.013
Open science0.0030.025
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0210.003

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 head0.045
GPT teacher head0.202
Teacher spread0.156 · 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

Citations40
Published2004
Admission routes1
Has abstractyes

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