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Record W2549380199 · doi:10.1123/jpah.2016-0393

Results From India’s 2016 Report Card on Physical Activity for Children and Youth

2016· article· en· W2549380199 on OpenAlexaff
Tarun Reddy Katapally, Shifalika Goenka, Jasmin Bhawra, Subha Mani, Ghattu V. Krishnaveni, Sarah H Kehoe, Anjana Sankhil Lamkang, Manu Raj, Kathleen McNutt

Bibliographic record

VenueJournal of Physical Activity and Health · 2016
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsRegional Municipality of WaterlooUniversity of ReginaUniversity of Waterloo
FundersMedical Research CouncilPublic Health Foundation of India
KeywordsReport cardPhysical activityGovernment (linguistics)Physical fitnessSedentary behaviorPsychologyApplied psychologyMedicinePhysical therapyPedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: Physical inactivity in children and youth in India is a major public health problem. The 2016 Indian Report Card on Physical Activity for Children and Youth has been conceptualized to highlight this epidemic by appraising behaviors, contexts, strategies, and investments related to physical activity of Indian children and youth. METHODS: An international research collaboration resulted in the formation of a Research Working Group (RWG). RWG determined key indicators; identified, synthesized, and analyzed existing evidence; developed criteria for assigning grades; and, finally, assigned grades to indicators based on consensus. RESULTS: Overall Physical Activity Levels were assigned a grade of C-. Active Transportation and Sedentary Behaviors were both assigned a grade of C. Government Strategies and Investments was assigned a grade of D. Six other indicators, including the country-specific indicator Physical Fitness, were graded as INC (incomplete) due to the lack of nationally representative evidence. CONCLUSIONS: Based on existing evidence, it appears that most Indian children do not achieve recommended levels of physical activity and spend most of their day in sedentary pursuits. The report card identifies gaps in both investments and research that need to be addressed before understanding the complete picture of active living in children and youth in India.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.626

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.344
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations37
Published2016
Admission routes1
Has abstractyes

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