Teachers' Understanding of Students' Attitudes and Values Toward Physical Activity in Physical Education Dropout Rates and Adolescent Obesity
Bibliographic record
Abstract
Structured interviews were used to explore 10th grade teachers' understanding of students' attitudes and values toward physical education and physical activity as a variable in students' probability of dropping physical education and adolescent obesity. When asked how school-based physical education could help combat the problem of students dropping physical education, teachers suggested providing a greater range of choices among activities and providing further opportunity for positive experiences in physical education. Furthermore, teachers stated that the greatest barriers to students who are overweight and/or poorly skilled from enjoying physical education were their feelings of being humiliated, ridiculed, embarrassed, and discriminated against. Teachers demonstrated a lucid understanding of students' attitudes and values, as well as of more debilitating barriers, to increasing physical activity. Notwithstanding, if physical educators are to provide a safe and encouraging environment, they must acknowledge that what they do, or choose not to do, may have an enduring impact on students. Although teachers are unable to do much about extracurricular physical activity, they can do something about the physical education offered in schools. Results of the study suggest that teachers must offer more activities from which students may choose including sports that do not demand highly developed motor skills, but still emphasize fitness and health.
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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 | 0.004 | 0.009 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 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".