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Record W3176569692

'Too Young to Sell Me Sex!?' Mens Rea, Mistake of Fact, Reckless Exploitation, and the Underage Sex Worker

2011· article· en· W3176569692 on OpenAlexaboutno aff
Lucinda Vandervort

Bibliographic record

VenueSSRN Electronic Journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsMens reaMistakeLawLaw enforcementJurisprudenceEnforcementCriminal lawCriminal codeCriminal justiceDisparate impactCommon lawPolitical scienceCriminologyPsychologySupreme court
DOInot available

Abstract

fetched live from OpenAlex

In 1987, apprehension that “unreasonable mistakes of fact” might negative mens rea in sexual assault cases led the Canadian Parliament to enact “reasonable steps” requirements for mistakes of fact with respect to the age of complainants. The role and operation of the “reasonable steps” provisions in ss. 150.1(4) and (5) and, to a lesser extent, s. 273.2 of the Criminal Code, must be reassessed. Mistakes of fact are now largely addressed at common law by jurisprudence that has re-invigorated judicial awareness of the evidentiary requirements for the availability of defences at common law and explicitly defines “honest belief” as a belief that is neither reckless nor willfully blind. As a consequence of these common law developments, the defence of mistake of fact with respect to age is rarely available as a matter of law. Properly used, these common law analytic tools afford minors and under-age sex-workers better legal protection from sexual exploitation than has often been achieved in practice over the last 25 years with the “reasonable steps” requirement under ss. 150.1(4) and (5). Socio-economic inequalities ensure that aboriginal children and youth are disproportionately affected by the non-enforcement, under-enforcement, and selective enforcement of laws enacted to protect minors against sexual assault and participation in sex work. Continued reliance by prosecutors and judges on out-moded jurisprudence in the screening, prosecution, and disposition of these cases in the criminal justice system reinforces existing patterns of inequality and disadvantage and violates basic principles of human rights. [Available on HeinOnLine as published in May 2012.]

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.617
Threshold uncertainty score0.771

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.028
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.267
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2011
Admission routes1
Has abstractyes

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