The importance of pregnant mother participation in Mama SASHA pregnant and lactating clubs in communities (624.7)
Bibliographic record
Abstract
Antenatal clinics (ANCs) are critical for improving maternal nutrition and health knowledge. The Mama SASHA project in western Kenya delivers an orange flesh sweet potato intervention through ANC to improve the vitamin A status of women and children less than 2 years. A nested cohort study following women from pregnancy to 9 months postpartum was designed as an evaluation strategy for the Mama SASHA project. A survey was conducted at enrollment among 505 women, 10‐24 weeks gestation attending first ANC clinic visit. Of the 505 enrolled women, 72% reported they had not yet received counseling from the nurse on exclusive breastfeeding for the first 6 months during the current pregnancy; over 90% reported not yet receiving counseling on when to initiate breast feeding, the importance of colostrum, when to initiate complementary feeding or how long to breast feed. 70 % of participants were multiparas (N=352) of whom 91% attended ANC during their previous pregnancy. Of these only 39% reported receiving information from the health facility on breast feeding during their previous pregnancy, 35% on how to eat during pregnancy, and 44% on how to feed young children. These findings highlight that ANC is lost opportunity for providing nutrition education and counseling. There is a significant need to strengthen nutritional counseling both at the ANC as well as through community based platforms such as pregnant and/or lactating clubs.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".