Prosecuting and Propagating Emotional Harm: The Criminalisation of HIV Nondisclosure in Canada
Bibliographic record
Abstract
Abstract This article explores emotional harm in the context of the criminalization of HIV nondisclosure in Canada. With the exception of Matthew Weait in the United Kingdom, few scholars have examined what harm means in cases of HIV nondisclosure. We conceptualize the harm that follows nondisclosure as an affective response to the “HIV positive Other” and argue that law creates a legal norm about what harm is and feels like in cases of HIV nondisclosure when there is no clear consensus about how harm should be defined. Mobilizing the sociology of emotions literature, we contend that criminalizing HIV nondisclosure engages affective, moral, and criminal censure to regulate the behaviours of people living with HIV/AIDS (PLWH), thus reproducing HIV stigma and propagating emotional harm for PLWH. Canada’s response to HIV nondisclosure should instead involve a transformative justice approach that avoids the harm of criminalization and imprisonment while recognizing the emotional harm experienced by complainants.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.036 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".