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Record W2110257370 · doi:10.1123/jsep.32.4.417

The Role of Body-Related Self-Conscious Emotions in Motivating Women’s Physical Activity

2010· article· en· W2110257370 on OpenAlexaff
Catherine M. Sabiston, Jennifer Brunet, Kent C. Kowalski, Philip Wilson, Diane E. Mack, Peter R.E. Crocker

Bibliographic record

VenueJournal of Sport and Exercise Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMcGill University
Fundersnot available
KeywordsShamePridePsychologyRealmPhysical activitySocial psychologyDevelopmental psychologyMedicine

Abstract

fetched live from OpenAlex

The purpose of this study was to test a model where body-related self-conscious emotions of shame, guilt, and pride were associated with physical activity regulations and behavior. Adult women (N = 389; M age = 29.82, SD = 15.20 years) completed a questionnaire assessing body-related pride, shame, and guilt, motivational regulations, and leisure-time physical activity. The hypothesized measurement and structural models were deemed adequate, as was a revised model examining shame-free guilt and guilt-free shame. In the revised structural model, body-related pride was positively significantly related to identified and intrinsic regulations. Body-related shame-free guilt was significantly associated with external, introjected, and identified regulations. Body-related guilt-free shame was significantly positively related to external and introjected regulation, and negatively associated with intrinsic regulation. Identified and intrinsic regulations were significantly positively related to physical activity (R2 = .62). These findings highlight the importance of targeting and understanding the realm of body-related self-conscious emotions and the associated links to regulations and physical activity behavior.

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)0.001
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 score0.001
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.295
Teacher spread0.288 · 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

Citations150
Published2010
Admission routes1
Has abstractyes

Explore more

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