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The Relationship Between Goal Orientation and Self‐Efficacy for Exercise

2004· article· en· W2126991313 on OpenAlexaff
Jennifer Cumming, Craig Hall

Bibliographic record

VenueJournal of Applied Social Psychology · 2004
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyMultivariate analysis of varianceId, ego and super-egoGoal orientationOrientation (vector space)Coping (psychology)Task (project management)Social psychologyDevelopmental psychologyClinical psychologyStatistics

Abstract

fetched live from OpenAlex

This study examined exercisers' motivational profiles and investigated whether different combinations of task and ego orientation would reflect different levels of coping and task self‐efficacy. Male ( n = 106) and female ( n = 174) exercisers were administered an exercise version of the Task and Ego Orientation in Sport Questionnaire (Duda & Nicholls, 1992) and an instrument measuring coping and task self‐efficacy. The results of a K‐means cluster analysis on the questionnaire scores resulted in a 5‐cluster solution that maximized between‐group differences and minimized within‐group differences. A MANOVA indicated that the different cluster groups could be distinguished by their coping and task self‐efficacy. More specifically, exercisers with high levels of task orientation, regardless of their corresponding levels of ego orientation, were characterized by having higher levels of self‐efficacy than exercisers with low levels of task orientation combined with low to high levels of ego orientation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.365

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 head0.051
GPT teacher head0.384
Teacher spread0.332 · 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

Citations34
Published2004
Admission routes1
Has abstractyes

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