Characteristics of young foster children in the urban slums of Bangladesh
Bibliographic record
Abstract
AIM: To identify the reasons for the fostering of children, and to describe their feeding practices and assess their health and nutritional status. METHODS: Forty-six pairs of mothers and their young foster children (up to 24 mo of age) were interviewed in a cross-sectional study in the urban slums of Dhaka, Bangladesh. Another 82 pairs of mothers and their biological children of a similar age group were interviewed for comparison. RESULTS: Sixty-five percent of the children were fostered because of the death of their biological mothers. Eighty-three percent of the biological mothers died because of complications during delivery or the immediate postpartum period and the remainder died after the postpartum period of diseases unrelated to their pregnancies. More than half (52%) of the foster mothers were childless and a quarter (24%) fostered children for reasons of gender preference. Almost a quarter (24%) of the children were placed in foster homes because of extreme parental poverty. Divorce or separation of the biological parents accounted for only 7% of children fostered. Approximately 90% of the foster children were given animal and/or formula milk in their first month of life while all children in the comparison group were given breast milk. Among the foster children, 58% were given semisolid or solid food before completion of 4 mo compared with 14% in the comparison group. Significantly more children in the foster group suffered from diarrhoea and acute respiratory infection than in the comparison group. CONCLUSION: Maternal death, poverty and childlessness and child gender preference of foster mothers were important factors in fostering of children in the study group. Inappropriate feeding practices compounded by diseases may have contributed to the poor nutritional status of the foster children.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".