Experiences of social exclusion and bullying at school among children and youth with cerebral palsy
Bibliographic record
Abstract
Purpose: Although bullying amongst typically developing school-aged children has been well explored, it is under-researched for children with disabilities. The purpose of this study was to understand the experiences of exclusion and bullying among children with disabilities. Method: We draw on qualitative in-depth interviews and a focus group with children and youth with disabilities (n = 15) to explore their experiences of exclusion and bullying. Results: Our results showed that restrictions in the socio-contextual environment influenced the social exclusion that children experienced. Youth encountered social exclusion from both teachers and peers. Children reported that teachers’ attitudes toward children with disabilities often influenced the social exclusion experienced by peers. Bullies engaged in both implicit and explicit forms of social exclusion toward children with disabilities which often lead to verbal and physical bullying. Conclusions: Children with cerebral palsy are victims of bullying and social exclusion within the school context. More opportunities for social inclusion are needed.Implications for RehabilitationChildren and youth with cerebral palsy experience verbal and physical bullying at school.Rehabilitation health care providers and educators should be cognizant of the symptoms of childhood bullying and be prepared to provide children and their parents with resources on how to cope.Health care providers and educators should teach children how to explain their disability and their specific needs to their teachers and peers to create more awareness and understanding about their condition.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".