Examining the Relationship Between Exercise Goals, Self‐Efficacy, and Overt Behavior With Beginning Exercisers<sup>1</sup>
Bibliographic record
Abstract
Despite the overwhelming evidence that associates regular physical activity with physical and mental health benefits, millions of North Americans remain sedentary. Previous research by Poag‐DuCharme and Brawley (1993, 1994) and suggestions by Bandura (1989, 1997) led to the hypothesis that goals would influence exercise behavior through the mediating variable of self‐efficacy. Changes to the social cognitions and behavioral patterns of adherers during the exercise program were also assessed. Results demonstrate that at midprogram, self‐efficacy beliefs mediated the relationship between goal influence and exercise frequency. Significant increases were observed in self‐efficacy and perceived exertion from onset to midprogram. Onset goal influence and self‐efficacy significantly discriminated adherers from dropouts. Results are discussed with respect to the need to continue investigating the changing influence of social cognitions on motivating behavior.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".