NISE: NO CORAÇÃO DA LOUCURA - UMA ANÁLISE DO CONTEXTO DO FILME E A EVOLUÇÃO LEGISLATIVA SOBRE SAÚDE MENTAL
Bibliographic record
Abstract
Partindo-se do filme “Nise – no coração da loucura” como marco temporal inicial, com base no ano de 1944 até o ano de 2018, realiza-se um retalho no tempo analisando as legislações vigentes desde a época inicial até a atualidade, no que tange à saúde mental, seja no tratamento médico ou no local de internação dos pacientes, com o objetivo de demonstrar a real evolução legislativa e casuística, seja ela internacional ou nacional. A metodologia aplicada foi o método indutivo e histórico. O objetivo do presente é demonstrar através de um recorte cinematográfico as implicações jurídicas dadas no caso do tratamento dos pacientes que possuem problemas de saúde mental. Como considerações finais o que se observa é uma evolução legislativa no que tange a tutela dos deficientes mentais, com tratamentos mais humanizados, priorizando a dignidade da pessoa humana. Palavras-chave: Saúde mental. Direitos Humanos. Deficiente mental. Cinema.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".