Bearing the Stigma of HIV: Experiences and Coping Strategies in Southwest China
Bibliographic record
Abstract
Even as the number of people living with HIV (PLWH) is rapidly increasing in China, qualitative studies investigating the effect of HIV stigma on daily lives remain limited. The current study aims to fill this gap in research with attention to not only the experiences but also the coping strategies of PLWH in southwest China. We conducted 90 in-depth interviews in Guangxi, China. Our participants included both PLWH and individuals in their surrounding community (e.g., spouse, children, health workers). Our interview data showed an intense manifestation of HIV stigma in domestic spheres. Other close community members (e.g., relatives, friends, neighbours) also worked both to discriminate against PLWH and simultaneously thwart possible stigma by association. By explaining how stigma affects both PLWH and their family members, the current study seeks to help both citizens and health practitioners better understand the effects of stigma on PLWH, their friends and their families.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| 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".