Journalistic Careers and Gender in Brazil: Impasses and Inequalities between Men and Women in the Profession
Bibliographic record
Abstract
This study analyzes the trajectory of Brazilian women journalists. It compares the position of women and men journalists in the workplace and in the configuration of journalistic careers. It also analyzes how bot groups make their choices within this organizational system. This study also discusses how work-family balance mechanisms affect both genders differently. To meet these objectives, two sets of data were explored: a survey conducted with 496 Brazilian journalists and in-depth interviews conducted with 21 professionals. Results coincide with findings from literature in the area regarding structural inequalities in the profession: women earn less; they are under-represented in leadership and directorial positions in media companies while simultaneously being in the majority in less legitimate and more precarious segments of the profession. Women appear to limit their career choices to less ambitious positions in the workplace. In addition, female journalists are more likely to be constrained by the effects of balancing work and family when building their careers. The study argues that the literature on journalism careers should take gender studies into account when proposing different typologies of journalists’ careers.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".