The Boundaries of the Criminal Law: The Criminalization of the Non-Disclosure of HIV
Bibliographic record
Abstract
In this paper, the author examines the trend toward the increased criminalization and punishment of persons with HIV who fail to inform their sexual partners of their HIV-positive status. Since the Supreme Court of Canada's decision in R. v. Cuerrier, such behaviour may constitute aggravated assault or aggravated sexual assault, the latter offence carrying a maximum sentence of life imprisonment. The paper surveys the Canadian case law and highlights the trend towards the imposition of increasingly harsh sentences. After reviewing public-health and criminal law options for dealing with non-disclosure of one's HIV status, the author concludes that criminal law should only be invoked in the most serious circumstances and only where all other public health measures have been exhausted. Criminal law should be reserved for individuals who demonstrate a pattern of non-disclosure either over time or with different sexual partners. The author also explores the social and legal reasons behind the apparent contradiction that, despite the improved prognosis for persons with HIV sentences for those who knowingly transmit the virus have become increasingly severe.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.030 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".