Experiences of Size Inclusive Physical Activity Settings Among Women With Larger Bodies
Bibliographic record
Abstract
Purpose: Size inclusive physical activity settings may help mitigate the impact of physical activity-related weight stigma. In this interpretive description study, we aimed to understand how women with larger bodies experienced size inclusive physical activity settings. The study was informed by a settings-based approach to health promotion. Method: We interviewed nine women with larger bodies who participated in size inclusive physical activity and used an inductive approach to analyze the data. Findings: At the individual level, size inclusion was experienced as an enhancement of well-being, self-worth, and belonging. This was closely tied to the interpersonal level, whereby weight-neutral practices used by fitness instructors and lack of judgment from other exercisers contributed to experiences of size inclusion. At the organizational level, the organization’s culture, marketing, programs, and physical spaces could enhance or limit inclusion and participation. However, weight stigma was prevalent in women’s experiences outside the physical activity setting. Conclusion: We provide recommendations to improve size inclusion in physical activity settings.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".