Bibliographic record
Abstract
With the consolidation of Journalism in society, an ideal image of both the professional and his/her work was solidified in people's imagination. Even today, the area often conflicts with what is expected of it, such as total impartiality in the production of news and fidelity to what is considered fact. This work reflects on the desuperficialization of the journalistic subject-position based on the character Scott Templeton, introduced in the fifth season of the series The Wire (2002). To this end, it seeks to understand and problematize the functioning of the journalist's social projection in his production of senses. In this direction, the research is supported by the discursive studies of Orlandi (2015, 2022) and Traquina (2020), in dialogue with Davallon (1999), Nietzsche (2019), Dardot e Laval (2016) e Han (2024). In conclusion, the multifaceted character of journalism and its historicity make it impossible for the effect of impartiality, at the same time that such an illusion is fed by a neoliberal capitalist system.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.089 | 0.041 |
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".