How my life is unique: Sibling perspectives of autism
Bibliographic record
Abstract
The impact of autism on the family is an area of study that merits further research attention. Much of the existing literature has focused on the parent perspective, with less emphasis on the experiences of other family members, particularly non-autistic siblings. This study aimed to explore the lived experiences of a sample of nine 8- to 17-year-old non-autistic siblings of children and youth on the autism spectrum. We interviewed siblings and analysed transcripts using interpretative phenomenological analysis. Our results revealed the following Group Experiential Themes: (1) Role disparities, different expectations; (2) C onnection and disconnection; and (3) Our family is (extra)ordinary. Our study findings highlight the unique and collective perspectives of siblings regarding their brother or sister on the spectrum within the broader family dynamic. We discuss the implications of these results on siblings of autistic children and youth. Lay abstract The impact of autism on the family is an important area of study. Much of the existing literature has focused on the parent perspective, with less emphasis on the experiences of other family members, especially non-autistic siblings. This study aimed to explore the lived experiences of a sample of nine 8- to 17-year-old non-autistic siblings of children and youth on the autism spectrum. We interviewed non-autistic siblings and analysed the written transcripts. Our results revealed the following themes: (1) Role disparities, different expectations; (2) Connection and disconnection; and (3) Our family is (extra)ordinary. Our study findings highlight siblings’ unique and collective perspectives regarding their brother or sister on the spectrum within the broader family unit. We discuss the implications of these results on siblings of autistic children and youth.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".