When biographical disruption meets HIV exceptionalism: Reshaping illness identities in the shadow of criminalization
Bibliographic record
Abstract
Drawing on interviews with civil society actors in the AIDS Service Organization (ASO) sector in Canada, this article explores how these actors contribute to shaping the illness identities of people living with HIV/AIDS in the shadow of efforts to criminalize exposure to HIV. While the biographically disruptive qualities associated with an HIV diagnosis have been addressed in the medical sociology literature, we turn our attention to the key role played by ASOs as interlocutors in this process. Paying specific attention to the intersection of processes of medicalization and criminalization, we ask how they are re-stigmatizing a condition that has shifted in the public consciousness from its earlier association with deviance and moral culpability. One important implication of our findings concerns the need to take greater account of how the illness identity and experience can be shaped by a 'biography of telling', of a renewed pressure to disclose intimate details of one's health status as a way to perform responsible practices of citizenship.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.030 | 0.060 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.003 | 0.008 |
| 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".