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Record W2168517897 · doi:10.1123/jtpe.27.2.155

School Physical Education, Extracurricular Sports, and Lifelong Active Living

2008· article· en· W2168517897 on OpenAlexaff
Jason N. Bocarro, Michael A. Kanters, Jonathan M. Casper, Scott Forrester

Bibliographic record

VenueJournal of Teaching in Physical Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsBrock University
Fundersnot available
KeywordsPhysical educationCurriculumLifelong learningVariety (cybernetics)Physical activityPsychologyPedagogyMechanism (biology)Medical educationActive livingMedicinePhysical therapy

Abstract

fetched live from OpenAlex

The purpose of this article is to examine the role of school-based extracurricular initiatives in facilitating immediate and long-term positive impact on physical activity, healthy behavior, and obesity in children. A critique of the role of various sports-related initiatives that have been developed to address the obesity epidemic currently facing children within the United States is provided, with a specific emphasis on intramural sports as a preferred mechanism to encourage long-term involvement in sport and physically active pursuits. The article presents support for the notion that a physical education curriculum that includes intramurals before, during, and after school can help children learn the skills to enjoy participation in a variety of sports designed to facilitate lifelong active living.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.336
Teacher spread0.324 · 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 source (direct Gemma or distilled Codex), 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

Citations87
Published2008
Admission routes1
Has abstractyes

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