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Record W2995877838 · doi:10.32992/erlacs.10545

The Brazilian women’s movement and the state under the PT national governments

2019· article· en· W2995877838 on OpenAlexaff
Simone Bohn, Charmain Lévy

Bibliographic record

VenueEuropean Review of Latin American and Caribbean Studies | Revista Europea de Estudios Latinoamericanos y del Caribe · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsUniversité du Québec en OutaouaisYork University
Fundersnot available
KeywordsLatin AmericansPolitical scienceHumanitiesArtLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.298
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2019
Admission routes1
Has abstractyes

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