lived experiences of teenage girls with scoliosis and the effect of a peer support group, Curvy Girls
Bibliographic record
Abstract
CONTEXT: Scoliosis is an abnormal lateral curvature of the spinal column and affects approximately 1% to 3% of adolescents. The relationship between pain and idiopathic scoliosis has not been well documented and remains unclear in the literature. Curvy Girls is an international peer-run support group that aims to reduce scoliosis's emotional impact through education, mutual support, and self-empowerment. OBJECTIVES: This study endeavors (1) to gain insight into the lived experience of teenage girls living with scoliosis and (2) to understand how the peer support group, Curvy Girls, has impacted their lives. APPROACH: We interviewed sixteen members of Curvy Girls living with scoliosis. The interviews were transcribed verbatim, and then interpreted using applied philosophical hermeneutics. FINDINGS:I. Personal Lens: The narratives of living with undiagnosed pain revealed confusion, solitude, and loneliness. The impact of labeling the pain (i.e., an official diagnosis) led to relief in some cases or irritation in some other cases. II. Healthcare Lens: The stories of negative healthcare experiences and their impact on teenage girls are uncovered. The teenage girls wanted to be included in treatment decisions that may endorse autonomy and independence during adolescence. III. Peer support Lens: Curvy Girls provides a safe environment for these adolescent girls to engage. The power of sharing and communicating helps Curvy Girls members cope and feel a sense of belonging. SIGNIFICANCE: An insight into these teenage girls’ lived experiences allows for a better understanding of living with scoliosis and how a peer support group can help with this journey.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".