MétaCan
Menu
Back to cohort
Record W4392625866 · doi:10.53555/sfs.v10i1.2272

The Study On The Physical Health Of Primary School Children In Selected Primary Schools Of Gopalpur, Nadia District, West Bengal, Focused On Weight Management

2023· article· en· W4392625866 on OpenAlexvenueno aff
Rita Rakshit, Sumit Padihar

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typearticle
Languageen
FieldHealth Professions
TopicDiverse Scientific Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWest bengalPrimary (astronomy)MedicineSocioeconomicsSociologyPhysics

Abstract

fetched live from OpenAlex

school children with an emphasis on weight management. The research explored the interconnected factors of physical activity, diet, socio-economic influences, family environment, physical infrastructure, screen time, and sleep patterns affecting the health status of primary school students. The objective was to observe the present health status of school children in the villages of Nadia. The study revealed that inadequate physical activity, unhealthy dietary habits, and low nutrition knowledge were prevalent among the participants. Economic factors and family structures played roles in influencing students' physical health, while the built environment of neighborhoods significantly impacted physical activity levels. Screen time and insufficient sleep were identified as contributors to adverse health outcomes. The findings underscored the need for effective physical education programs, health education, and supportive policies within schools to promote the overall well-being of primary students.

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)0.023
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.201
GPT teacher head0.390
Teacher spread0.188 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Survey in Fisheries SciencesSame topicDiverse Scientific Research StudiesFrench-language works237,207