Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".