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Record W2124742871 · doi:10.1123/jsep.34.1.102

The Association Between Physical Self-Discrepancies and Women’s Physical Activity: The Mediating Role of Motivation

2012· article· en· W2124742871 on OpenAlexaff
Jennifer Brunet, Catherine M. Sabiston, Andrée L. Castonguay, Leah J. Ferguson, Natalia Bessette

Bibliographic record

VenueJournal of Sport and Exercise Psychology · 2012
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of SaskatchewanMcGill University
Fundersnot available
KeywordsDeci-PsychologyIdeal (ethics)Association (psychology)Physical activitySocial psychologyTest (biology)Self-conceptPerceptionDevelopmental psychology

Abstract

fetched live from OpenAlex

The objectives of this study were to test the associations between physical self-discrepancies (actual:ideal and actual:ought) and physical activity behavior, and to examine whether motivational regulations mediate these associations using self-discrepancy (Higgins, 1987) and organismic integration (Deci & Ryan, 1985) theories as guiding frameworks. Young women (N = 205; M(age) = 18.87 years, SD = 1.83) completed self-report questionnaires. Main analyses involved path analysis using a polynomial regression approach, estimation of direct and indirect effects, and evaluation of response surface values. Agreement between actual and ideal (or ought) physical self-perceptions was related to physical activity both directly and indirectly as mediated by the motivational regulations (R(2) = .24-.30). Specifically, when actual and ideal self-perceptions scores were similar, physical activity levels increased as actual and ideal scores increased. Furthermore, physical activity levels were lower when the discrepancy was such that ideal or ought self were higher than actual self. These findings provide support for integrating self-discrepancy and organismic integration theories to advance research in this area.

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 score0.067
Threshold uncertainty score0.315

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 head0.016
GPT teacher head0.303
Teacher spread0.287 · 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

Citations41
Published2012
Admission routes1
Has abstractyes

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