Imagery Use and Self‐Determined Motivations in a Community Sample of Exercisers and Non‐Exercisers<sup>1</sup>
Bibliographic record
Abstract
This study examined the patterns of imagery use and motivational self‐determination, and the relationships between them in regular exercisers (RE), non‐exercisers who intend to exercise (NE‐I), and non‐exercisers who do not intend to exercise (NE‐N). A survey was conducted through the random sampling of a large population. The NE‐N group reported using the same amount of imagery as the other 2 groups. NE‐N participants were the least and RE participants the most self‐determined, with NE‐I participants in between. The patterns of association among imagery and self‐determination were different for the NE‐N participants than the other 2 groups. It was concluded that imagery interventions that might be successful with RE and NE‐I participants are unlikely to be effective with NE‐N participants.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| 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".