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A mentira que invalida o consentimento sexual: limites à criminalização do estupro mediante fraude

2023· article· en· W4394775021 on OpenAlexaff
Tatiana Badaró

Bibliographic record

VenueRevista do Instituto de Ciências Penais · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Penology
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsHarmPunishment (psychology)LegislatorCriminologyLawPsychologyAutonomyPolitical scienceSocial psychologyLegislation

Abstract

fetched live from OpenAlex

The legal systems of countries such as Germany and the United Kingdom only allow punishment for the practice of a sexual act through fraud in certain situations. Conversely, art. 215 of the Brazilian Penal Code is broad enough to allow punishment whenever fraud constitutes a condition without which sexual consent would not have been obtained. Both models deserve criticism: the former is generally guided by the classic distinction between fraud in the factum and fraud in the inducement, which lacks clarity and foundation, and the later reaches conducts that should not receive any attention from criminal law. The present article discusses and criticizes these models with the aim of investigating the range in which the legislator is, in principle, authorized to criminally prohibit sexual fraud. Based on the understanding of the negative and positive dimensions of the right to sexual autonomy and the reach of the duties related to them, it is proposed to interpret art. 215 in a way that restricts the hypotheses of incrimination to those included in three groups: 1) frauds regarding the sexual nature of the act, the type of sexual act, and the identity of the person with whom the sexual act is practiced; 2) frauds that exercise coercive pressure or involve exploitation of a special trust relationship; and 3) frauds with the potential to cause harm (physical, financial, or emotional).

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.716
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.075
GPT teacher head0.366
Teacher spread0.291 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

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