Translating Exercise Intentions into Behavior: Personality and Social Cognitive Correlates
Bibliographic record
Abstract
The purpose of this study was to detail the variability found in the exercise intention-behavior relationship and investigate social cognitive and personality correlates of successful intention translation. Participants were 300 undergraduate students who completed measures of exercise social cognition (theory of planned behavior), personality (five-factor model) and a two-week follow-up of exercise behavior. Results suggested intention translation at a frequency of zero was significantly more successful than intending to exercise at all other weekly frequencies. Moreover, intending to exercise one or two times per week resulted in better intention translation than intending to exercise four or more bouts per week. Discriminant function analysis and follow-up F-tests found instrumental attitude, affective attitude and perceived behavioral control (PBC) discriminated between nonintenders, unsuccessful intenders and successful intenders. Further, extroversion predicted unsuccessful intenders versus successful intenders. Results underscore the importance of attitude, PBC and extroversion as action control constructs in the exercise domain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".