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Record W3177047025

Dimensões Institucionais da Igualdade de Gênero: o Caso Maria da Penha / Institutional Dimensions of Gender Equality: the Maria da Penha Case

2021· article· pt· W3177047025 on OpenAlexaff
Marta Rodríguez de Assis Machado, Mariana Mota Prado

Bibliographic record

VenueRevista Direito e Práxis · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesGovernoStatutePolitical scienceSociologyLawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

DOI: 10.1590/2179- 8966/2021/56463. Resumo Este artigo explora a complexa interacao entre a letra da Lei Maria da Penha (Lei 11.340/2006) e o contexto institucional no qual ela funciona. Apos detalhar as mudancas institucionais introduzidas pela lei, analisamos as medidas adotadas pelo governo brasileiro para implementar reformas, apontando inumeras deficiencias. Ademais, mostramos que os tribunais brasileiros nao tem reconhecido a importância das instituicoes previstas na lei. Concluimos o artigo propondo um caminho alternativo, denominado modularidade: rejeitamos a ideia de que mudancas legais e institucionais operam de forma hierarquica ou independente, em prol do entendimento de que a Lei e as instituicoes podem se complementar ou compensar mutuamente os seus pontos fracos. Palavras-chave: Lei Maria da Penha; Instituicoes; Modularidade. Abstract This article explores the complex interaction between the Maria da Penha Statute (Law 11.340/06) and the institutional context in which such statute operates. After presenting the details of the institutional changes provided by the Statute, we analyse the measures adopted by the Brazilian Government to implement reforms, identifying a number of shortcomings. We also show that the Brazilian courts have neglected the role of institutions as prescribed by the Maria da Penha Statute. We conclude the article by presenting an alternative path called modularity: we reject the idea that law and institutions have either a hierarchical relationship or are independent of one another; instead, we suggest that they can be complementary or may compensate for each other weaknesses. Keywords: Maria da Penha Statute; Institutions; Modularity.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.020
Scholarly communication0.0060.002
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.126
GPT teacher head0.396
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2021
Admission routes1
Has abstractyes

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