Early termination of breast-feeding in periurban Santo Domingo, Dominican Republic: mothers' community perceptions and personal practices
Bibliographic record
Abstract
OBJECTIVES: The objectives of this study were to determine: 1) whether mothers' perceptions of typical community practice for breast-feeding duration influence their personal practices and 2) whether the mothers' reports of community reasons for terminating breast-feeding identify barriers not elicited through self-report. METHODS: The study was conducted in 1997 in a sample of poor neighborhoods in a periurban district of Santo Domingo, the capital of the Dominican Republic. A representative sample of 220 mothers from these neighborhoods was interviewed with a structured questionnaire. RESULTS: While the duration of breast-feeding was similar for self-report and for mothers' perceptions of typical community practice, there was no statistically significant correlation between these two variables. "Mother-driven" reasons for early termination of breast-feeding, such as "fear of loss of figure or of breast shape" and "not wanting to breast-feed," were frequently perceived as community reasons but rarely given as personal reasons. Personal reasons were predominately "child-driven," including "the child not wanting the breast," or reasons beyond the mother's control such as having "insufficient" milk. CONCLUSIONS: Maternal report of community reasons for early termination may be a useful way to identify factors that would not otherwise be revealed on self-report. These additional reasons may guide health promotion efforts aimed at increasing breast-feeding duration.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".