“I’ll never sacrifice my well-being again:” The journey from negative to positive body image among women who perceive their body to deviate from societal norms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We conducted one-on-one interviews with 25 Canadian cisgender women who self-identified as having (a) a condition or characteristic causing their body to deviate from societal norms and (b) overcome a negative body image to develop a positive body image. Using coding reliability thematic analyses, we identified 12 themes (italicised) involving processes and experiences associated with shifts in body image. Women had moments that sparked and confirmed the importance of building positive body image (Enough is Enough). They experienced accepting Social Connections and Community and Accessed Critical Knowledge conducive to body positivity. They engaged in Joyful Movement, Adaptive Appearance Investment, and Joyful and Intuitive Eating. They identified how Changing Societal Norms, Becoming Older and Wiser, COVID-19 Pandemic, having Illnesses and Medical Conditions, Pregnancy and Motherhood, and Spirituality, Religion, and Nature affected their body image, values, and valued action. As women engaged in these processes and experiences, shifts occurred in their perceptions of their embodied selves in the world, represented by four "Bigger Lessons:" I Am More Than My Looks, I Am More Than My Body, I am More Than My Self, and I am Inherently Worthy of Love, Respect, and Joy. These findings can inform body image programmes and clinical interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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 it