Ethnicity and child survival in Nigeria
Bibliographic record
Abstract
This study examined specific socio-cultural practices, which vary among\ndifferent ethnic groups, as they affect childhood morbidity and\nmortality in Nigeria. Data from Nigeria Demographic and Health Survey\n(NDHS) 2003 were complemented with 40 focus group discussions and 40\nin-depth interviews among selected ethnic groups in Nigeria. An\nexamination of the Direct Estimates and Cox regression on childhood\nmortality indicate significant differences, with ethnic groups in the\nnorthern part of Nigeria having the highest risk. The values placed on\nchildren among all ethnic groups are reflected in different\nsocio-cultural beliefs and practices with significant influence of\nmaternal education. Although the assumption that specific\nsocio-cultural practices might be salient to exposure of children under\nfive years to childhood mortality was supported in the study, the\ndifferences observed are more a reflection of the mother's household\nenvironment and socioeconomic variables.
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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 | 0.000 | 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) | 0.001 | 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 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".