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Record W6939463657 · doi:10.60692/ys9az-szf74

Estruturação da mercadoria das emissoras comerciais sob a convergência: apontamentos para uma economia política da indústria radiofônica

2015· article· en· W6939463657 on OpenAlexaboutno aff

Bibliographic record

VenueGreater South Information System · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicRadio, Podcasts, and Digital Media
Canadian institutionsnot available
Fundersnot available
KeywordsBroadcasting (networking)PeriodizationRelation (database)PropositionRadio broadcastingConvergence (economics)

Abstract

fetched live from OpenAlex

Based on the political economy of communication, this work attempts to define the alterations that have occurred throughout time, in the framework of the merchandise offered by commercial broadcasting stations. It is based on the arguments of Dallas Smythe (1983) in relation to the configuration of the audience as such, as well as on the proposal for the periodization of the history of Brazilian radio broadcasting presented in a previous paper (Ferraretto, 2012). This paper intends to offer elements to complement this notion, taking into account the proposition made by the Canadian researcher, with the alterations which have been caused by the environment and by the capitalist system since the 70s, that is, the role of the identity of broadcasting stations and the relation with the brand. In this way, the work allows for the comprehension of the radio broadcasting business in contemporaneity, when the convergence starts to predominate as a marketing strategy.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.007
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.104
GPT teacher head0.299
Teacher spread0.195 · 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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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