The contribution of schools to supporting the well being of children affected by HIV in eastern Zimbabwe
Bibliographic record
Abstract
OBJECTIVES: Schools are often cited as a source of support for orphans and children affected by HIV/AIDS in populations experiencing generalized HIV epidemics and severe poverty. Here we investigate the success of schools at including and supporting the well being of vulnerable children in rural Zimbabwe. DESIGN: Data from a cross-sectional household survey of 4577 children (aged 6-17 years), conducted between 2009 and 2011, were linked to data on the characteristics of 28 primary schools and 18 secondary schools from a parallel monitoring and evaluation facility survey. METHODS: We construct two measures of school quality (one general and one HIV-specific) and use multivariable regression to test whether these were associated with improved educational outcomes and well being for vulnerable children. RESULTS: School quality was not associated with primary or secondary school attendance, but was associated with children's being in the correct grade for age [adjusted odds ratio 2.0, 95% confidence interval (CI) 1.2-3.5, P = 0.01]. General and HIV-specific school quality had significant positive effects on well being in the primary school-age children (coefficient 5.1, 95% CI 2.4-7.7, P < 0.01 and coefficient 3.0, 95% CI 0.4-5.6, P = 0.02, respectively), but not in the secondary school-age children (P > 0.2). There was no evidence that school quality provided an additional benefit to the well being of vulnerable children. Community HIV prevalence was negatively associated with well being in the secondary school-age children (coefficient -0.7, 95% CI -1.3 to -0.1, P = 0.03). CONCLUSIONS: General and HIV-specific school quality may enhance the well being of primary school-age children in eastern Zimbabwe. Local community context also plays an important role in child well being.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".