The Impact of Professional Development About Weight-Related Issues for Pre-Service Teachers: A Pilot Study
Bibliographic record
Abstract
Many teachers do not have a working knowledge of body image or weight issues. This pilot project examined body image satisfaction and eating/weight-related behaviours before and after a professional in-service with physical education pre-service teachers (N = 16). At the three- month follow-up, measures were repeated and qualitative data (critical incidents and a focus group) about the impact on teaching practice was collected. Results showed no significant changes, however pre-service teachers indicated (a) attempting to lose weight or gain muscle (despite many being in a healthy weight range), and (b) having a biased approach to weight-related issues. Pre-service teachers, particularly those specializing in physical education, are not immune to cultural messages that perpetuate the thin ideal. Future evaluation with a larger sample that formally measures implicit and explicit weight-bias is needed. Providing professional development for pre-service teachers may promote more positive practice about body image, weight-bias, and weight/eating-related concerns in schools.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".