Food insecurity and HIV status among pregnant Ghanaian women: Preliminary results from the RIING study
Bibliographic record
Abstract
Pregnant women from the Eastern region who were HIV‐positive (n=113), HIV‐negative (n=96) or of unknown HIV status (n=106) responded to a modified version of the 18‐item US Household Food Security Module. The reference time period was the month preceding the survey. Cronbach's alpha for the 10 adult items was 0.84. Women were classified as food secure (score=0), at risk of food insecurity (1–2), food insecure without hunger (3–5), experiencing moderate hunger (6–8), or experiencing severe hunger (score 8–10). None of the women lived in food secure households. The proportion experiencing each level of food insecurity was 67.0%, 21.6%, 9.5% and 1.9%, respectively. All women experiencing severe hunger (n=6) were HIV‐positive compared to HIV‐negative and unknown status participants(p=0.06). These preliminary results suggest an association between severe hunger and maternal HIV infection. Funded by NIH grant HD43620.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".