Peer support for adolescent girls living with scoliosis: finding a digital community
Bibliographic record
Abstract
Introduction : Scoliosis in a condition where a curve develops in the spine. Adolescent girls affected by scoliosis are significantly more likely to require treatment such as bracing or surgery than their male counterparts. Curvy Girls is a peer support group for adolescent girls with scoliosis that allows them to engage with each other in a safe environment. Objectives : This study endeavours to explore the experiences of adolescent girls living with scoliosis who are Curvy Girls members and understand how this peer support group has affected their experience. Approach : Sixteen participants were recruited through a senior board member of Curvy Girls. Data was gathered through semi-structured interviews with open-ended questions, transcribed verbatim, and analyzed using an applied philosophical hermeneutic approach, a practice of uncovering insights from transformational conversation. Findings : We found that the participants’ sense of belonging to Curvy Girls did not depend on their level of involvement with the group. Whether they were leaders in their in-person local group, or simply following the organization on social media, seeing themselves represented allowed the participants to feel like they belonged to the group. Future Directions : These findings may help clinicians, healthcare professionals, and peer support organisations deepen their understanding of the perspectives of this specific population. This transformed understanding could lead to the instauration of care and services that are better adapted to this population’s needs, resulting in lessening the burden of the condition on the individual and their support system.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".