Autism in the Context of Humanitarian Emergency: The Lived Experiences of Syrian Refugee Parents of Children on the Autism Spectrum
Bibliographic record
Abstract
Autism is a heterogeneous neurodevelopmental condition that varies in severity, presentation, and behavioural expression. Given this heterogeneity and the importance of early intervention, appropriate support, and service is crucial to promote positive outcomes. Research suggests differences in the diagnostic understanding, support acquisition, and service use among diverse, minority, and/or migrant populations. There is a gap in research investigating support and service use among Syrian refugee parents of autistic children in Canada. This study explored the support and service experiences of resettled Syrian refugee parents of autistic children in terms of their pre- and post-migration. These lived experiences were investigated with participants (n = 3) through semi-structured interviews using interpretive phenomenological analysis. This study identified the supports and services parents received, their experiences with those services, their overall experiences with resettlement having an autistic child(ren), the implications of culture in support/service provision, and their perceived areas of service need during and after their resettlement in Alberta, Canada. Parents all had unique experiences that were delineated through clustered emergent themes and subsequently organized into a superordinate conceptual structure. The results of the study are discussed in the context of theory and relevant literature to elucidate and make findings applicable. Practical implications and future directions are discussed.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".