Dimensões Institucionais da Igualdade de Gênero: o Caso Maria da Penha
Bibliographic record
Abstract
Resumo Este artigo explora a complexa interação entre a letra da Lei Maria da Penha (Lei 11.340/2006) e o contexto institucional no qual ela funciona. Após detalhar as mudanças institucionais introduzidas pela lei, analisamos as medidas adotadas pelo governo brasileiro para implementar reformas, apontando inúmeras deficiências. Ademais, mostramos que os tribunais brasileiros não têm reconhecido a importância das instituições previstas na lei. Concluímos o artigo propondo um caminho alternativo, denominado modularidade: rejeitamos a ideia de que mudanças legais e institucionais operam de forma hierárquica ou independente, em prol do entendimento de que a Lei e as instituições podem se complementar ou compensar mutuamente os seus pontos fracos.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".