Determinants of HIV-related stigma and discrimination in Malawi: evidence from the demographic and health survey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
HIV-related stigma and discrimination are counterproductive to addressing the HIV epidemic in Malawi. Yet, there are dearth of studies interrogating the predictors of HIV-related stigma and discrimination in Malawi. Using the 2015-2016 Malawi DHS and applying complementary log-log model, we found that 19% of women and 15% of men endorsed HIV-related stigma and discrimination. In addition, HIV-related stigma and discrimination was associated with a set of psychosocial, demographic, and socioeconomic factors. For example, having never been tested for HIV was associated with stigma and discrimination among women (OR=1.51, p<0.001) and men (OR=1.45, p<0.001). We discuss policy implications of our findings. .
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it