School readiness among children born to women living with HIV in Dar es Salaam, Tanzania: a cohort study protocol
Bibliographic record
Abstract
INTRODUCTION: Children who are born to women living with HIV are at a greater risk of suboptimal neurodevelopment; however, evidence from sub-Saharan Africa is limited and functional developmental outcomes are rarely assessed in this vulnerable population. The School Readiness among HIV-Exposed Children (SRHEC) cohort study aims to assess the school readiness of preschool aged children born to women living with HIV and to identify the biological, environmental and social factors that contribute to school readiness in this population. METHODS AND ANALYSIS: The SRHEC cohort is an observational follow-up study of children born to HIV-infected pregnant women who were previously enrolled in a maternal vitamin D supplementation randomised, placebo-controlled trial in Dar es Salaam, Tanzania. This parent trial enrolled 2300 pregnant women and followed mothers and infants up to 1-year postpartum. Mother/caregiver and child pairs will be eligible for the SRHEC follow-up study if the child is between 3 and 6.5 years of age at assessment, and the mother/caregiver provides informed consent. The International Development and Early Learning Assessment tool will be used to assess children's school readiness, including their early literacy, early numeracy, motor, socialemotional, and executive function skills. Data on maternal and child health and nutritional status (eg, anthropometry, blood pressure and diet) will be collected using standardised instruments and survey-based questionnaires. Data on maternal/caregiver depression and anxiety, maternal exposure to intimate partner violence, and HIV-related stigma will also be collected. Generalised linear and logistic regressions will be used to assess the relationship between child school readiness and biological, social, environmental factors. ETHICS AND DISSEMINATION: This study received ethical clearance from the Tanzanian National Institute of Medical Research, the Muhimbili University of Health and Allied Sciences, and the Harvard T.H. Chan School of Public Health. We will disseminate our results in the form of scientific conference presentations and peer-reviewed publications.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".