Obesity Education as an Intervention to Reduce Weight Bias in Fashion Students
Bibliographic record
Abstract
<p>The purpose of this work was to explore the effectiveness of an educational intervention aimed at reducing weight bias. Senior fashion students (<em>n</em><em> </em>= 11) enrolled in a 16 week special topics course, “plus-size swimwear design”, completed assignments of selected obesity related educational readings and guided critical reflection. Student assignments were analyzed for qualitative evidence regarding weight bias. The Beliefs About Obese Persons scale was administered before and after the intervention with mean scores tested for statistical significance. The intervention increased student perceptions that genetic and environmental factors play an important role in the cause of obesity and decreased students’ negative stereotypes regarding obese consumers. Educational reading and critical reflection was effective in improving fashion students’ beliefs and stereotypes regarding obese people. This widely accessible and easily replicable program can serve as a model and springboard for further development of educational interventions to reduce weight bias among fashion related students.</p>
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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 | 0.004 | 0.002 |
| 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 | 0.001 |
| 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".