Protective and risk factors associated with stigma in a population of older adults living with HIV in Ontario, Canada
Bibliographic record
Abstract
Although the deleterious effects of HIV stigma are well documented, less is known about how various types of stigma impact older adults living with HIV disease and what factors exacerbate or lessen the effects of HIV stigma. Using cross-sectional data from the OHTN cohort study (OCS), we undertook multiple linear regression to determine the predictors of overall HIV stigma, and enacted, anticipated, and internalized stigma subscales in a sample of OCS participants age 50 and over (n = 378). Being female, heterosexual, engaging in maladaptive coping, and having poor self-rated health were associated with greater overall stigma while being older, having greater mastery, increased emotional-informational social support, and a longer time since HIV diagnosis were associated with lower levels of stigma. The final model accounted for 31% of the variance in overall stigma. Differences in these findings by subscale and implications for practice are discussed.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".