The 2022 India Report Card on physical activity for children and adolescents
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
With strong evidence of physical inactivity's link to chronic disease and economic burden – particularly with childhood active living behaviors tracking into adulthood – it is imperative to promote physical activity among children and adolescents in India. To evaluate active living patterns among Indian children and adolescents. The India Report Card (IRC) team, which consists of experts in India and Canada, systematically collected and appraised evidence on 11 indicators of active living, including 5 behavioral (Overall Physical Activity, Organized Sport Participation, Active Play, Active Transportation, Sedentary Behavior), 2 individual-level (Physical Fitness, Yoga) and 4 sources of influence (Family and Peers, School, Community and Built Environment, Government). Peer-reviewed articles were appraised based on national representativeness, sample size, and data quality. Grey literature was appraised based on comprehensiveness, validity of the sources, and representativeness. All indicators were assessed against parameters provided by the Active Healthy Kids Global Alliance. Active Transportation and Government Strategies were ranked highest with a B- and C+ grade, respectively. Overall Physical Activity and Schools were assigned a C grade, while Sedentary Behavior and Community and Built Environment were given D grades. Yoga was the lowest ranking indicator with a D- grade. Organized Sport Participation, Active Play, Family and Peers, and Physical Fitness were all graded incomplete. Active Transportation, Government Strategies, and Overall Physical Activity have improved since the 2018 IRC, a positive trend that needs to be translated to other indicators. However, Sedentary Behavior has consistently worsened, with grades C, C-, and D-, in 2016, 2018, and 2022, respectively. Evidence generated by the 2022 IRC suggests opportunities for improvement not only in India, but also the 56 other countries taking part in Global Matrix 4.0.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it