MINDFULNESS AND PHYSICAL ACTIVITY: PSYCHOMETRIC PROPERTIES OF THE STATE MINDFULNESS SCALE FOR PHYSICAL ACTIVITY
Bibliographic record
Abstract
This study aims to test the validity and reliability of the Turkish version of the State Mindfulness Scale for Physical Activity developed by Cox, Ullrich-French, and French(1). The research group consists of individuals who study in dance courses in the Cankaya district of Ankara. A total of 217 individuals, 53.5% female (n=116), 46.5% male (n=101), participated in the study voluntarily. The average age of the individuals participating in the study was determined as 31.42 +/- 8.93. n addition, the participants stated that they had continued their dance activities for an average of 4.60 +/- 5.14 years. Data obtained from the research; a) Personal Information Form prepared by the researchers, b) State Mindfulness Scale for Physical Activity developed by Cox, Ullrich-French and French(1), and c) Lau et al. (2) and adapted to Turkish by Sahin and Kokdemir(3) using the Toronto Mindfulness Scale. The validity of the mindfulness scale for physical activity was examined by confirmatory factor analysis and concurrent validity. The findings showed that the Turkish adaptation of the state mindfulness scale for physical activity had good psychometric properties to determine physical activity participants' state mindfulness.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".