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Record W2024379635 · doi:10.1177/1359105313500096

The relationship between transformational teaching and adolescent physical activity: The mediating roles of personal and relational efficacy beliefs

2013· article· en· W2024379635 on OpenAlexaff
Jessica E. Bourne, Yan Liu, Christopher Shields, Ben Jackson, Bruno D. Zumbo, Mark R. Beauchamp

Bibliographic record

VenueJournal of Health Psychology · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsAcadia UniversityUniversity of British Columbia
Fundersnot available
KeywordsTransformational leadershipStructural equation modelingPsychologySelf-efficacyPhysical educationDevelopmental psychologyPhysical activityPerceptionObservational studySocial psychologyMathematics educationMedicine

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the extent to which transformational teaching, exhibited by secondary school physical education teachers, predicts within-class physical activity and leisure-time physical activity among adolescents. The study used a prospective observational design and involved data collected from 874 Grade 10 adolescents (M age = 15.41, (SD) = .61). Through use of structural equation modeling, the results revealed that adolescents' perceptions of transformational teaching were positively related to within-class physical activity and leisure-time physical activity, and these effects were mediated by adolescents' estimation of their teacher's confidence in their abilities (i.e. relation-inferred self-efficacy) and self-efficacy beliefs.

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)0.002
metaresearch head score (Gemma)0.008
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.102
GPT teacher head0.425
Teacher spread0.323 · 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

Citations22
Published2013
Admission routes1
Has abstractyes

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