MétaCan
Menu
Back to cohort
Record W4240848676 · doi:10.17771/pucrio.acad.12282

ESTADO DE INOCÊNCIA E A ORDEM PÚBLICA: PRISÃO PREVENTIVA E VIOLAÇÃO DE DIREITOS HUMANOS

2008· dissertation· pt· W4240848676 on OpenAlexaff
DOUGLAS CAMARANO DE CASTRO

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicBrazilian Legal Issues
Canadian institutionsBibliographical Society of Canada
Fundersnot available
KeywordsHumanitiesViolaPolitical sciencePhilosophyPhysics

Abstract

fetched live from OpenAlex

[pt] O presente trabalho pretende demonstrar que durante a persecução penal (fase policial e fase judicial) o imputado deve sempre ser tratado como inocente (estado de inocência) e permanecer em liberdade, sendo a prisão preventiva admitida somente em casos absolutamente excepcionais, e desde que a mesma tenha função de medida cautelar instrumental. Esta pesquisa não tem a pretensão de exaurir o tema, mas, sim, trazer à discussão algumas questões que estão na ordem do dia, mormente quando se fala de prisão preventiva para garantia da ordem pública, uma vez que a medida extrema decretada sob tal fundamento não apresenta características de medida instrumental. Pretende-se, portanto, num primeiro plano, demonstrar o embate existente entre o princípio constitucional da presunção de inocência e a decretação da prisão preventiva para garantia da ordem pública. E em segundo, tem-se por objetivo demonstrar a inconstitucionalidade da medida de exceção decretada nos termos acima referidos, e conseqüentemente, as ofensas aos direitos humanos fundamentais e aos fins propostos por um Estado Democrático de Direito, quando ordenada.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.031
GPT teacher head0.344
Teacher spread0.314 · 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; both teacher heads agree on what is shown here.

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
Published2008
Admission routes1
Has abstractyes

Explore more

Same topicBrazilian Legal IssuesFrench-language works237,207