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Record W2200768038 · doi:10.1017/s1744552308003042

Should we use the criminal law to punish HIV transmission?

2008· article· en· W2200768038 on OpenAlexaffabout
Udo Schüklenk

Bibliographic record

VenueInternational Journal of Law in Context · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsVoluntarinessCriminal lawContext (archaeology)CriminologyTransmission (telecommunications)Political scienceSexual transmissionCommissionLawHuman immunodeficiency virus (HIV)Sexual assaultPsychologyVirologyPoison controlMedicineSuicide preventionGeography

Abstract

fetched live from OpenAlex

Legislators around the world are grappling with the question of whether or not the criminal law should be deployed in order to punish HIV transmission that is the result of voluntary sexual encounters between competent, consenting adults. A few years ago, when I was working in South Africa, that country’s Law Reform Commission proposed to declare HIV transmissions that are the result of voluntary sexual encounters among competent consenting adults a criminal offence that ought to fall under the category of rape (Schüklenk, 2003). Rape and voluntariness do not go too well together, so – not being a lawyer – I was surprised about the seemingly otherworldly machinations of legal minds in the context of HIV/AIDS. Matthew Weait points out in his book Intimacy and Responsibility: The Criminalisation of HIV Transmission that many liberal democracies have made HIV transmission a criminal offence, among these Canada, Sweden, Germany, Norway, Denmark, the Netherlands, the UK and many others. In most countries, HIV infected people who demonstrably knew about their infection have been successfully prosecuted for transmitting HIV to their sexual partners.

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)0.013
metaresearch head score (Gemma)0.066
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.066
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0070.035
Scholarly communication0.0100.021
Open science0.0020.004
Research integrity0.0210.020
Insufficient payload (model declined to judge)0.0090.003

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 head0.108
GPT teacher head0.374
Teacher spread0.267 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations2
Published2008
Admission routes2
Has abstractyes

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