Individual- and system-level determinants of breastfeeding in a low-resource setting
Bibliographic record
Abstract
The benefits of breastfeeding are widely established and therefore the World Health Organization recommends that every child be exclusively breastfed for the first 6 months of life and continue breastfeeding up to 2 years of age or beyond. However, the rate of exclusive breastfeeding is low globally and has declined in Bangladesh in recent years. In this review, Bangladesh is used as an example to demonstrate the complex individual- and system-level determinants of breastfeeding in a low-resource setting. Mothers face barriers to breastfeeding within the context of marketing by commercial milk formula companies, limited safe alternatives to breastfeeding directly from the breast, and insufficient resources to support breastfeeding in the hospital, community, and workplace setting. Future research and implementation science is required to investigate the overlapping effects between breastfeeding and the high antibiotic use and Caesarean section rates in Bangladesh, along with public health efforts to promote breastfeeding based on robust evidence.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".