Specifics of the Body Image of Adolescents with Scoliosis: A Case of Being Labeled as ‘A Scoliotic’
Bibliographic record
Abstract
The body image is to be reconstructed during adolescence, which is more difficult in the case of somatic illness and social stigma. This research aimed to study adolescents' body image with scoliosis, students of a special educational institution in Ukraine socially identified with stigma as 'a school for scoliotics'. The participants (n=104) of the research were adolescents (13-15 years old) with scoliosis from the institution mentioned above (n=52, 24 males, 28 females) and adolescents without scoliosis from the same city (n=52, 24 males, 28 females). Two methods were used to collect the data: (1) Self-portraits; (2) Dembo-Rubinstein Self-Assessment Scale. The adolescents with scoliosis and labeled as 'scoliotics' face additional obstructions in their psychic body development compared to their peers. For instance, they tend to overinvest in the desired image of a healthy body and do not feel able to get it. We found the markers of four different ways to cope with the situation by the adolescents with scoliosis: (a) identification as 'a scoliotic' instead of hope to be cured soon; (b) psychological distancing from the others to preserve the desire of a more attractive body image; (c) repression or denial of the body parts which could relate to scoliosis; (d) infantilization, aimed to slow down the discovery of their maturing corporeality. Consequently, adolescents with scoliosis affected by stigma experience the gap or conflict between their current, desired and perceived realistic body image.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".