“Negative Things That Kids Should Never Have to Hear”: Exploring Women’s Histories of Weight Stigma in Physical Activity
Bibliographic record
Abstract
Scholars have proposed that cumulative experiences of anti-fat bias and stigma contribute to detrimental physical activity experiences, as well as social and health inequities. The objective of this research was to explore how enacted weight stigma experiences are constructed and impact women's physical activity experiences long term. Eighteen women who identified as having had negative experiences related to their body weight, shape, or size in physical activity contexts participated in semistructured interviews. Using reflexive thematic analysis, four themes were identified: (a) norms of body belonging, (b) distancing from an active identity, (c) at war with the body, and (d) acts of resistance. These findings deepen understandings of how historical experiences of weight stigma can have longstanding consequences on physical activity cognitions, emotions, and behaviors. To equitably promote physical activity, it is imperative that movement spaces (e.g., fitness centers, sport organizations) both target anti-fat stigma and adopt weight-inclusive principles.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.018 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".