The Influence of Socio-Economic Determinants on HIV Prevalence in South Africa
Why this work is in the frame
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Bibliographic record
Abstract
AIDS, caused by the human immunodeficiency virus (HIV), is one of the major hindrances to development in sub Saharan Africa. 18% of the South African population is infected with HIV. In the literature, little attention has been given to the socio-economic context in which people live to explain observed prevalence levels. This study uses an economic model of risky sexual behaviour to investigate the correlation between different socio-economic attributes and HIV prevalence in South Africa. The empirical results show that HIV prevalence is positively correlated with level of education, marriage and the proportion of female headed households, and negatively correlated with average age, proportion of young people, the proportion of women and fertility rates. The estimated variables accounted for 88% of the relationship to the observed levels of HIV prevalence.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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