Estimation of nutrition status of school going children in the local area District Kohat, Pakistan
Bibliographic record
Abstract
There are many determinants of malnutrition among school-going children. These include poverty, illiteracy and inadequate diet. To assess the nutritional status of primary and high school children in an urban area of Kohat. A cross-sectional study was performed in a primary and high school of Government sector in the rural area of Kohat. A total of 750 children between the ages of 4-15 years were studied. A total of 750 children between the ages of 4-15 were analyzed for this study. Out of 750 school-going students, 300(40%) were found positive, and 450(60%) were found normal according to age. Gender-wise analysis shows that in male students 105 were found positive for stunting and 75 male students were underweight. In overall female students, 69 were found stunting and 51 were found underweight. According to the age group between 4 to 10 years 45 female students were found stunting and 30 were found underweight. While in the age of 11 to 15 years 24 students were stunting and 21 students were underweight. Gender wise prevalence of stunted and underweight showed more boys than girls. A lot more efforts are required in economic, educational, and media to improve the nutritional condition of the new generation of Kohat, Pakistan.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".