Causes and pathogenesis of noma in Zinder (Niger): A socio-anthropological study
Bibliographic record
Abstract
OBJECTIVES: Noma is a gangrenous affliction that destroys the soft and hard tissue of the face. It affects exclusively young children from developing countries. Although the risk factors (malnutrition and debilitating diseases) are known, the cause remains a topic of debate. Etiological studies have tried to identify bacterial or viral agents responsible for the illness. We examine for the first time the possibility of a link between this illness and the social practices surrounding childbirth. METHODS: This study took place in Niger, where we conducted 18 ethnographic interviews with mothers from four villages. Noma was known in two villages, but unknown in the other two. RESULTS: Our results show that inadequate practices related to breastfeeding, weaning, and nutritional supplementation practices are by themselves insufficient to initiate the disease, insofar as most of these practices, paradoxically, were found in the villages not affected by the disease. CONCLUSION: The results indicate that these practices are not sufficient to explain noma. They suggest, however, that poor maternal health and nutritional status before and during pregnancy may have an irreversible negative impact on the child's overall health.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".