Measuring Cognitive Behavioral Physical Activity Levels of Students Aged 17-18
Bibliographic record
Abstract
This study intended to measure the cognitive behavioral physical activity levels of students aged 17-18 enrolled at different schools. The study population was comprised of the 17-18 age group and the study sample was comprised of 159 students in total n:76 (47.8%) enrolled at 15 Temmuz Şehitler Sports High School and n:83 (52.2%) enrolled at Cumhuriyet Anatolian High School in the province of Niğde. The data was analyzed with Statistical Package for the Social Sciences and the confidence level was 95%. According to the Kolmogrow Smirnov analysis, t and ANOVA tests were used as the participants’ cognitive behavioral physical activity scores had normal distribution (p>0.05) and Mann Whitney U and Kruskal Wallis tests were used as result expectation, self-regulation and personal obstacles subdimension scores did not have normal distribution (p<0.05).  According to the study results, there was no significant difference between the students enrolled at the Sports High School and the Anatolian High School. There was significant difference between the participants aged 17 and 18 considering cognitive behavioral physical activity by school. There was significant difference between the female and male participants in terms of Personal Obstacles. Accordingly, females had higher Personal Obstacles. Considering cognitive behavioral physical activity by gender, there was significant difference between the female and male participants in terms of cognitive behavioral physical activity. Accordingly, males had higher Cognitive Behavioral Physical Activity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".