Symbolic and Transformative: Alignments Toward <i>Feminicídio</i> Legal Reform inside the Brazilian Police
Bibliographic record
Abstract
Abstract Feminism travels unevenly through state structures, and the state’s incorporation of feminist ideas remains controversial within feminist movements. This study uses the Brazilian Feminicídio Law, which increases punishment for gender-based homicides, as a case study to ask how law enforcement actors adopt a feminist legal reform. Data come from one year of in-depth fieldwork across police stations in a major Brazilian city and from newspaper articles. I show that state actors accept the feminist legal frame based on previous understandings of police practices. However, institutional divisions led them to develop different alignments toward the new legal reform. While police officers from the homicide division symbolically align toward feminicídio and do not aim to change police practices, officers from the women’s division perceive feminicídio as an opportunity to claim significant changes in police practices, revealing a transformative alignment. Struggles over legitimation and diverging professional beliefs and interests explain the two distinct responses.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.027 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".