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Record W2098394016 · doi:10.1123/wspaj.2014-0012

Examination of the Relationship Between Imagery Use, Efficacy Beliefs, and Body Image in Females

2014· article· en· W2098394016 on OpenAlexaff
Lisa M. Cooke, Krista Chandler

Bibliographic record

VenueWomen in Sport and Physical Activity Journal · 2014
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of WindsorWestern University
Fundersnot available
KeywordsExpectancy theorySelf-efficacyPsychologyStructural equation modelingSocial psychologyDevelopmental psychologyComputer science

Abstract

fetched live from OpenAlex

Given the prevalence of inactivity among women, it is imperative to examine sources which may influence exercise behavior. Researchers have begun to examine the practical application of exercise imagery on involvement in physical activity (Giacobbi et al., 2003; Milne et al., 2008). Using the Applied Model of Imagery Use in Exercise (Munroe-Chandler & Gammage, 2005), imagery use, efficacy beliefs, and body image among female exercisers ( N = 300) was investigated. Results revealed frequent use of exercise imagery, high efficacy beliefs, and positive body image cognitions among exercisers. Structural equation modeling revealed that efficacy beliefs did not mediate the relationship between imagery use and body image among a specific sample of female exercisers. However, the results do suggest that exercise imagery significantly predicts all four types of efficacy belief types (Efficacy Expectancy, Outcome Expectancy, Outcome Value, and Self-presentational Efficacy). Further examination of the suggested relationships in the applied model is needed.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.312
Teacher spread0.270 · 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
Published2014
Admission routes1
Has abstractyes

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