Managing stigma in adolescent HIV: silence, secrets and sanctioned spaces
Bibliographic record
Abstract
HIV is conceived as a disease that combines stigma elements of perceived contagion and socially undesirable behaviours. Drawing on in-depth interviews with professional adolescent service providers from Australia, Canada, the UK and the USA, this paper explores HIV stigma and stigma management in the lives of HIV-positive young people. Findings elucidate how additional layers of stigma relating to 'adolescent rights' and 'embodied innocence' are added to HIV stigma as it is more usually conceived. This study suggests that managing this stigma entails managing silence in the context of the social worlds of the young person, the family and the service provider. Silence emerged as a key theme in the participant narratives and was embedded in the descriptions of young people's lived experiences. Crucially, silence is a product of oppression and inequity but is also a tool for resistance. Silence defends secrets and exists in the spaces, both physical and social, that are created for them in order to manage the stigma in young people's lives. Silences associated with HIV therefore need to be exposed if we are to better understand what HIV truly means to seropositive young people and how 'silences' may minimise or exacerbate their experience of HIV stigma inside and outside the context of programmes.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".