Sedentism, seasonality, and economic status: A multivariate analysis of maternal dietary and health statuses between pastoral and agricultural Ariaal and Rendille communities in northern Kenya
Bibliographic record
Abstract
This paper examines longitudinal data to assess the effects of the recent transition from pastoralism to sedentary agriculture for Ariaal and Rendille mothers in northern Kenya. Dietary, morbidity, and anthropometric data resulting from bimonthly repeated surveys of the pastoral community of Lewogoso and the sedentary agricultural community of Songa, covering the period from September 1994-July 1995, were used to test two hypotheses: 1) that sedentism is associated with changes in diet, seasonality, morbidity, and socioeconomic differentiation, and 2) that these changes affect maternal body composition. The first hypothesis is partly supported, with starch replacing milk in the sedentary diet. Repeated-measures multivariate analysis of variance revealed no seasonal effects for diet in the agricultural sample, while starch consumption was significantly affected by seasonality for the pastoral sample. The agricultural community also featured economic dietary disparities favoring wealthier mothers, while no such effect was found in the pastoral community. However, no seasonal or economic effects were found for morbidity patterns in either sample. The second hypothesis is also partially supported, as a generalized estimating equations analysis revealed differences in the way diet and economic strata influence maternal anthropometric values. Economic status was significantly associated with maternal arm-fat area in Lewogoso. Milk was a significant factor associated with maternal weight and arm-muscle area in Songa. These findings are discussed in light of development policy implications.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".