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Record W2965030421 · doi:10.1080/17440572.2019.1646131

“One of us”: the neomelodic music industry as a Camorra-mediated space of subaltern publicity in contemporary Naples

2019· article· en· W2965030421 on OpenAlexaff
Salvatore Giusto

Bibliographic record

VenueGlobal Crime · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPublicitySubalternSpace (punctuation)Media studiesPolitical scienceSociologyLawPhilosophyLinguistics

Abstract

fetched live from OpenAlex

The term ‘neomelodic’ defines a pop-folk music genre featuring the mediascape of Naples, Southern Italy, since the late 1980s. Neomelodic songs depict the experiences of lower-class Neapolitan subjects with a preference for those engaging with the Camorra, a powerful criminal organisation that is also a major investor in the local media industries. This article constitutes an exploration of the Camorra-mediated neomelodic milieu of cultural production vis-à-vis the political landscape of the current Neapolitan social peripheries. In so doing, it ethnographically shows how the neomelodic modalities of cultural production mediate and reify local forms of organised crime hegemony vis-à-vis the discursive power of the state. Accordingly, it also demonstrates how such modalities turn the neomelodic industry into a relational infrastructure of subaltern publicity, which engenders political dynamics of personal mobility and social identity construction amid its sponsors, performers, and publics.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.014
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.041
GPT teacher head0.295
Teacher spread0.254 · 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

Citations16
Published2019
Admission routes1
Has abstractyes

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