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Record W4232802946 · doi:10.3138/utlj.62.4.609

Sexual History Evidence in Cases of Sexual Assault: A Critical Re-evaluation

2012· article· en· W4232802946 on OpenAlexvenueno aff
Liat Levanon

Bibliographic record

VenueUniversity of Toronto Law Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArgument (complex analysis)NormativeSexual assaultSexual historyScope (computer science)PsychologyPower (physics)CriminologyEpistemologyLawSociologyPoison controlHuman factors and ergonomicsPolitical sciencePhilosophyMedicineComputer scienceMedical emergency

Abstract

fetched live from OpenAlex

Modern legal regimes have narrowed the scope of the sexual history evidence that is admissible for purposes of proving or refuting claims of consent in cases of sexual assault. Yet, under most modern regimes, similar-sexual-history evidence is still admissible. The article critically analyses the epistemic foundations of these regimes by laying down two arguments. The main argument is that, in the vast majority of cases, similar sexual history is simply irrelevant to questions of consent. First, a simple statistical analysis demonstrates that, in the class of complainants on sexual assault, similar-sexual-history evidence is not indicative of consent. Bayesian insights are then introduced in order to reinforce the analysis and refine it by identifying one narrow exception. Next, it is demonstrated that, in light of the proposed analysis, current evidential regimes can only make sense under some highly controversial normative or factual assumptions. The secondary argument contends that some of the modern evidential regimes reflect the idea that claims of power inequalities between men and women should be at the heart of sexual assault law, rather than claims of consent or lack of it.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.153
GPT teacher head0.370
Teacher spread0.217 · 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; a candidate call from one teacher head, not a consensus.

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

Citations5
Published2012
Admission routes1
Has abstractyes

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