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A redução da audiência da televisão aberta brasileira

2017· article· pt· W2684390456 on OpenAlexaff
Elthon Ferreira Ribeiro

Bibliographic record

VenueTemática · 2017
Typearticle
Languagept
FieldArts and Humanities
TopicCultural, Media, and Literary Studies
Canadian institutionsDalsa Corporation
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

A televisão aberta brasileira, com mais de 60 anos de existência vêm sofrendo uma redução na sua audiência nos últimos anos, proveniente da concorrência com outras mídias como a internet, o acesso à televisão paga, mudança de comportamento do telespectador, aumento da escolaridade do brasileiro, metodologias falhas e de pouca abrangência pelo IBOPE e da falta de renovação do conteúdo aberto ao longo das décadas. Observar o desafio das emissoras de televisão e do mercado publicitário em continuar investido nesse meio de comunicação de massa. Diante disso, com auxílio de pesquisas bibliográficas e do programa “Ver TV” da TV Brasil, o presente artigo analisará as causas e consequências da redução da audiência da televisão aberta brasileira e o impacto disso para as emissoras de televisão.Palavras-chave: Audiência. Televisão Aberta. Emissoras. Brasil.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.195
Threshold uncertainty score0.389

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.006
Science and technology studies0.0040.004
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.001

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 head0.080
GPT teacher head0.300
Teacher spread0.220 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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