O Efeito Fabril que o Newsmaking não vê: o que dizem outras áreas do conhecimento sobre os constrangimentos sofridos por jornalistas na Fábrica de Notícias // The Fabril Effect that the Newsmaking does not see: what other areas of knowledge...
Bibliographic record
Abstract
A notícia faz parte de uma construção social da realidade. Trata-se de um bem capital, fabricável. Existe um mercado noticioso que produz notícias e as comercializada. Se a empresa jornalística pode ser comparada a uma Fábrica de Notícias, com linha de montagem de produção de notícias (Newsmaking), o jornalista seria o operário desse negócio. Em Teorias da Comunicação, estuda-se muito os constragimentos, gratificações e penalidades do trabalho e do sistema organizacional no qual o jornalista está inserido. Mas tal arcabouço teórico não consegue vislumbrar, em termos práticos, situações de doenças, estresse e outros males ao indivíduo. O artigo visa compilar estudos da Psicologia Social, Ciência da Informação e da Comunicação que relatem sobre o sofrimento dos jornalistas neste contexto.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".