The effect of increased primary schooling on adult women's HIV status in Malawi and Uganda: Universal Primary Education as a natural experiment
Bibliographic record
Abstract
This paper explores the causal relationship between primary schooling and adult HIV status in Malawi and Uganda, two East African countries with some of the highest HIV infection rates in the world. Using data from the 2010 Malawi Demographic Health Survey and the 2011 Uganda AIDS Indicator Survey, the paper takes advantage of a natural experiment, the implementation of Universal Primary Education policies in the mid 1990s. An instrumented regression discontinuity approach is used to model the relationship between increased primary schooling and adult women's HIV status. Results indicate that a one-year increase in schooling decreases the probability of an adult woman testing positive for HIV by 0.06 (p < 0.01) in Malawi and by 0.03 (p < 0.05) in Uganda. These results are robust to a variety of model specifications. In a series of supplementary analyses a number of potential pathways through which such effects may occur are explored. Findings indicate increased primary schooling positively affects women's literacy and spousal schooling attainment in Malawi and age of marriage and current household wealth in Uganda. However primary schooling has no effect on recent (adult) sexual behavior.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".