Understanding Lived Experiences of Stigma for People Living with HIV: A Community Based Participatory Research Study
Bibliographic record
Abstract
The goal of this project was to better understand the experiences and impacts of HIV stigma and discrimination on people living with HIV and to co-create knowledge that has the potential to challenge existing stigma within the healthcare, social services, and public policy sectors in the province of Alberta, Canada. We employed community-based participatory research and a mixed methods design (survey methods and qualitative interviews) to address these questions. An online survey was completed by 148 people living with HIV and semi-structured interviews were conducted with an additional 20 participants. The research findings have been conceptualized within a social ecological model. The four main categories that emerged from the data included personal level factors attributed to HIV stigma, interpersonal factors related to HIV stigma, community factors related to HIV stigma, and HIV stigma in systems and institutions. Within each ecological domain we highlight the strengths and coping strategies people living with HIV identified in the study. Results will be of interest to health researchers and HIV service providers.
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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 | 0.027 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.026 | 0.013 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| 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".