FOOD INSECURITY AND MATERNAL‐TO‐CHILD TRANSMISSION OF HIV AND AIDS IN SUB‐SAHARAN AFRICA
Bibliographic record
Abstract
It is not known to what extent food insecurity may underlie the continued high rates of maternal to child transmission of HIV and AIDS (MTCT) in sub‐Saharan Africa, where most cases of pediatric HIV and AIDS are reported to occur. However, a number of plausible conceptual models and a growing evidence base drawn from both qualitative and empirical studies suggest that food insecurity contributes significantly to the epidemic of pediatric HIV infection. Specifically, food insecurity puts women at risk of HIV infection and weakens the ability of infected women and the health systems to which they may have access to prevent secondary infection of their children. Applied anthropologists have played a role in understanding some of the pathways through which food insecurity mediates biological and social risks of maternal to child transmission of HIV and AIDS. Efforts to understand and address the biocultural pathways through which food insecurity increases transmission of HIV from mothers to children can raise awareness of the importance of food and nutrition security among policy makers and program planners. Applied research on food insecurity by anthropologists can inform communities and contribute to the design of improved programs to prevent of MTCT.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".