Cognitive Status Assessment of Bengalee Adolescents of Age Range 11-14 y participating in institutional Mid-Day Meal program me in West Bengal, India
Bibliographic record
Abstract
Abstract: Adolescence is an important phase of life that bridges childhood and adulthood ranging from 10 to 19 years, forms the largest generation of young people in the world and about 90% of them residing in developing countries. It is a vital time period not only for physical growth but also for mental development. Under-nutrition in adolescent, even for relatively short-term, can have negative effects on the cognition that may lead to poor school performance. In India, to eliminate under-nutrition and promote better learning among children belonging to low socio-economic group, Mid-Day Meal (MDM) scheme was launched by the Government of India. For the growth of healthy brain, optimal learning and academic performance, a balanced nutrition is required. In this backdrop, present study has been undertaken among Bengalee adolescents of age range 11-14 y participating in institutional MDM to assess the cognitive status. Assessment of cognitive status was done by several methods such as Mini Mental State Examination (MMSE) for children, Montreal Cognitive Assessment (MoCA), Trail Making Test (TMT) Parts A and B in respect with physical growth and development assessed by body height and body weight. Comparison was also made between Mid Day Meal participants and non Mid Day Meal participants. The results showed that there is a scope for improvement of cognitive status in the study participants participating in institutional Mid Day Meal programme.
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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 | 0.001 |
| 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".