Parenting a Transitional Age Youth with Autism: Mental Health and Relational Experiences
Bibliographic record
Abstract
Purpose: This study explores the lived experiences of parents of transitionally aged, autistic youth (16-24), regarding their mental health and wellbeing, and their parent-child relationships. A prominent gap in the literature exists surrounding autistic youth of this age group, let alone their parents. Methods: With a focus on parents who live in Ontario, Canada, this qualitative study uses open-ended surveys (n = 19) to explore the mental health and relational dynamics between parents and their transitionally aged, autistic youth, both prior to and during the COVID-19 pandemic. Results: Thematic analysis of the survey responses suggests latent themes of: “I have good times and bad”: The importance of external factors and Parenting variability: Ongoing learning and an uncertain future. Results indicate complex and varied experiences of parents, reflecting strengths and challenges at multi-systemic levels. Participants reported that the presence of external supports, including paid and co-caregiving support positively affected their mental health and parent-child relationships, while absence of supports were detrimental. Conclusion: Complex interactions of internal and external factors influence parental mental health and wellbeing and the relationships they have with their autistic youth which have been further complicated by the COVID-19 pandemic. Availability of non-judgemental, formal and informal supports are encouraged to enhance the mental health and caregiving experiences of parents of transitional aged, autistic 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".