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Record W2109380135 · doi:10.1123/jtpe.32.1.61

Investigating Factors in the Retention of Students in High School Physical Education

2013· article· en· W2109380135 on OpenAlexaffabout
Ken R. Lodewyk, Colin M. Pybus

Bibliographic record

VenueJournal of Teaching in Physical Education · 2013
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsBrock University
Fundersnot available
KeywordsMultivariate analysis of variancePsychologyPhysical educationAutonomyValue (mathematics)Social cognitive theoryDevelopmental psychologyPhysical fitnessGerontologySocial psychologyClinical psychologyMathematics educationPhysical therapyMedicine

Abstract

fetched live from OpenAlex

Several studies have reported declining student enrolment rates in optional physical education. This study—incorporating constructs from social cognitive, self-determination, and body image theory—investigated factors that might be influential to this trend. Surveys were administered to 227 tenth-grade students from five schools in one school district of Ontario, Canada. MANOVA results revealed a significant main effect difference in variables by gender and enrollment group but not by the interaction. Enrollees had statistically higher motivation (domain value, self-efficacy, perceived autonomy support, and autonomous regulation), PE grade, and weekly levels of exercise beyond physical education. Qualitatively, nonenrollees reported more social concerns, less domain value, and disliked activities like fitness training, health content, and competition. Females had statistically higher body size discrepancy and qualitatively more domain value and concern about the social setting and the type of activities. Implications for the retention of high school physical education students are discussed.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.037
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.025
GPT teacher head0.369
Teacher spread0.344 · 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

Citations38
Published2013
Admission routes2
Has abstractyes

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