A PROTEÇÃO DOS DADOS GENÉTICOS E O DIREITO CONSTITUCIONALÁ PRIVACIDADE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
RESUMO Este artigo objetiva analisar como o acesso as informações genéticas pode afetar diretamente o direito à privacidade, através de análise em leis e documentos que proíbem o acesso a tais informações. Tal informação deve ser feita de forma cautelosa e sigilosa, o seu uso demasiado poderá acarretar danos irreparáveis a pessoas avaliadas, e como consequência surgir à discriminação.O direito à privacidade abarcado no art. 5º do nosso texto Constitucional possui um caráter positivo dando ao indivíduo o controle de suas informações pessoais, podendo não somente impedir a sua utilização, como também definir quais as informações poderão ser utilizadas.Palavras-chave: Dados Genéticos; Direito à Privacidade; Discriminação; Informações Genéticas; Proteção.ACCESS TO WORKER'S GENETIC INFORMATION AND CONSTITUTIONAL LAW PRIVACY ABSTRACTThis article aims to analyze how access to genetic information can directly affect the right to privacy, through analysis of laws and documents that prohibit access to such information. Such information must be made in a cautious and confidential manner, its use too much may cause irreparable damage to people evaluated, and as a consequence, discrimination may arise.The right to privacy covered in art. 5 of our Constitutional text, it has a positive character giving the individual control of his personal information, which can not only prevent its use, but also define which information can be used.Keywords: Genetic data. Right to Privacy; Discrimination; Genetic Information; Protection
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.009 |
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 it