Investigating correlates of habitual exercise behaviour: Tracking habit development over 12 weeks
Bibliographic record
Abstract
Social cognitive models have predominantly been applied to study physical activity; yet dual-process theory considers both the controlled (e.g., cognition) and the automatic (i.e., habit) factors for understanding behaviour. It has been proposed that development of habit requires certain antecedents which include: consistency and frequency of behaviour, environmental stability, and an initial intention. Currently, no research has investigated correlates of habitual exercise behaviour by using a longitudinal design. The purpose of this study was to explore correlates of habitual exercise behaviour in adults (n=56) who recently joined a local fitness facility or recreation centre. The participants' exercise behaviours were tracked by administering four questionnaires over 12 weeks. The measurements included an habit construct (Self-Report Habit Index) and controlled constructs (Subjective Exercise Experiences Scale, behavioural intention), and items on behavioural consistency, and gym environment. Ordinary least square regression revealed that affect (r=0.41, p
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".