Nutritional status, food insecurity, and biodiversity among the<scp>K</scp>hasi in<scp>M</scp>eghalaya,<scp>N</scp>orth‐East<scp>I</scp>ndia
Bibliographic record
Abstract
A community-based cross-sectional study was carried out with 603 children ages 5 and under and 500 of their mothers from 510 households to examine the prevalence of undernutrition and chronic diseases among the Khasis of North-East India. Anthropometric measurements including Mid-Upper Arm Circumference, height, and weight were taken. Dry blood spots to estimate haemoglobin and vitamin A were collected from children and women separately by finger prick. Mothers provided data about household socio-demographic particulars and infant and young child feeding practices. The prevalence in children of underweight was 31%, stunting was 57%, and wasting was 10%. Undernutrition was higher among boys as compared to girls. Nutrient intakes were below recommended levels. The prevalence of anaemia among children ages 1 to 5 years old was 68%, and vitamin A deficiency was 59%, and they were 83% and 48%, respectively, among women. Hypertension was observed in 15% of women, whereas diabetes was less than 1%. Only about 20% of households were food secure, and this was associated with parental literacy, per capita income, and family size. Undernutrition was unacceptably high among the Khasis despite rich food biodiversity. Proper implementation of nutritional intervention programs such as Integrated Child Development Services, Mid Day Meal, and the Public Distribution System will improve the nutrient intake and nutritional status of the population. Additionally, preservation of forest lands and products paired with judicious use of the rich food biodiversity available will promote dietary diversity and ultimately better nutrition and health.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".