Understanding the Impact of Maternal HIV Infection on the Health and Well-Being of Mothers and Infants in South Africa: Siyakhula Collaborative Workshop Report
Bibliographic record
Abstract
The Siyakhula study is an ongoing, observational cohort study in Pretoria, South Africa, that aims to understand how maternal HIV infection and perinatal environmental factors shape development and health in infants who are HIV-exposed (in utero and during breastfeeding) but remain uninfected themselves (HEU). The Siyakhula Collaborative Workshop, which took place at the Research Centre for Maternal, Fetal, Newborn & Child Health Care Strategies at Kalafong Hospital in Pretoria, South Africa on November 15-16, 2018, brought together a group of international health scientists, clinicians, and stakeholders, including women with lived experience, to build capacity for research and training on the impact of HIV infection on women's and infants' health across geographical and disciplinary boundaries. The workshop sought to summarise the state of knowledge on the effects of being HEU on infant development and health in the first two years of life, identify gaps in existing research on modifiable exposures that may be associated with poor infant development, and develop ideas for novel research and interventions to lessen or prevent adverse health outcomes in pregnant or breastfeeding people living with HIV. These proceedings summarise the pre-workshop consensus process that was used to identify priority areas to discuss during small-group breakout sessions, as well as the themes and key challenges that emerged from these discussions during the workshop.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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 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".