The Efficacy of Comprehensive School Health Course in Changing Pre-Service Teachers’ Attitudes and Reactions Toward Weight-Related Teasing
Bibliographic record
Abstract
Teachers view overt expressions of weight stigma, such as weight-related teasing, as troublesome but are often ill-prepared to address instances of weight-related teasing when they arise in the classroom. Comprehensive school health is an emerging framework that aims to better prepare teachers to address issues of health and wellness in the classroom, including weight-related teasing. We examined the efficacy of a university course in comprehensive school health in changing pre-service teachers’ attitudes and perceptions of weight-related teasing. Pre-service teachers read a vignette and responded to 10 items about the vignette at both the beginning and end of the semester-long course. Items relating to pre-service teachers’ perception of, responsibility and obligation to address the weight-related teasing event showed significant, positive change from the beginning to end of the semester. These results suggest that exposure to developmentally sound methods of delivering health-related content can support adaptive educator reactions to weight-related teasing.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".