Conditions of Uncertainty: The Social and Political Dimensions of Risk Management in the Transition to the Biomedical Era of HIV Prevention
Bibliographic record
Abstract
The HIV prevention field in Canada has failed to achieve a stabilising point, a lack of consensus on the effectiveness of risk management strategies, in its third decade, the transition to the biomedical era of HIV prevention. Under these conditions of uncertainty we have witnessed epistemic and social and political uncertainties proliferate. Experts debate long-standing and emerging prevention strategies. Newly produced knowledge complicates our understanding of gay male HIV prevention but often lacks appropriate validity and generalizability. Governing practices are implemented to respond to this knowledge, but in conflicting ways. For everyday social actors, these uncertainties morph into complicated forms of experiential uncertainty. \n \nI first present this dissertation as a work of critical social science on HIV. Drawing from critical studies on risk and uncertainty I then produce an original analytic framework termed the uncertainty triad. I then examine biomedical and public health research and critical perspectives on gay male HIV prevention, arguing that the field cultivates uncertainty to “beat-up” the epidemic. \n \nI then present data from 33 in-depth interviews conducted with young HIV-negative gay men to discuss their everyday confrontations with serostatus uncertainty (an inability to confirm one’s HIV-negativity). This is a move away from analysing motivations for condomless anal sex and focusing exclusively on “high risk men.” To avoid exclusively tapping into the HIV epistemic community, the interviewees hadn’t previously participated in a research interview about HIV and had no regular involvement with an AIDS service organisation.\t \n \nI then present an original theory on risk disposition, which investigates a social actor’s processes of risk reflexivity and his tolerance to serostatus uncertainty. Social conditions affecting the experiences of health maintenance, institutional navigation and sexual practice can shape tolerance to serostatus uncertainty by minimising or fostering anxiety. Drawing on the notion of sexual practice over sexual behaviour, I then examine HIV-negative gay men’s confrontations with HIV-related ethico-political challenges such as HIV stigma, serosorting and the criminalisation of HIV non-disclosure. I argue that biomedical optimism does not necessarily lead to the abandonment of condoms among HIV-negative gay men and that many remain sceptical of the prevention benefits of HIV treatments.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".