The Brazilian women’s movement and the state under the PT national governments
Bibliographic record
Abstract
Certain segments of the Brazilian Women’s Movement (BWM) developed important strategic partnerships with the state under the PT federal government. This article demonstrates how these partnerships had both inclusionary and exclusionary effects on gender-centric policy outcomes. Using a mix-method approach which includes extensive in-depth interviews with BMW activists and archival data from governmental sources, the Brazilian experience illustrates that “entering the state” headed by a women-ally president facilitates funnelling some of the women’s movement’s demands into the state. However, hierarchies within the movement itself, the congressional strength of the head of executive and the activism of some of its socially-conservative legislative allies can severely temper that effect. Resumen: El movimiento de mujeres brasileñas y el Estado durante los gobiernos nacionales de PTCiertos segmentos del Movimiento de Mujeres Brasileñas (BWM) desarrollaron importantes alianzas estratégicas con el estado bajo el gobierno federal del PT. Este artículo demuestra cómo estas asociaciones tuvieron efectos tanto inclusivos como excluyentes en los resultados de las políticas de género. Utilizando un método mixto que incluye extensas entrevistas en profundidad con activistas de BMW y archivos de fuentes gubernamentales, la experiencia brasileña ilustra que “entrar en el Estado” encabezado por un presidente aliado de las mujeres facilita canalizar algunas de las demandas del movimiento de mujeres hacia el Estado. Sin embargo, las jerarquías dentro del movimiento, la fuerza congresional del jefe ejecutivo y el activismo de algunos de sus aliados legislativos socialmente conservadores pueden moderar severamente ese efecto.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| 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".