Meta-synthesis of fathers’ experiences raising children on the autism spectrum
Bibliographic record
Abstract
Parents raising children with autism have distinct experiences that influence their well-being, relationships, engagement with the public, and interaction with education and healthcare systems. However, experiences of fathers of children with autism have been largely overlooked by researchers. This meta-synthesis is our synthesis of qualitative accounts of fathers' experiences and we included peer reviewed and gray literature articles that: (1) reported primary qualitative research, (2) included fathers of children with autism as participants, and (3) reported qualitative findings on the first-hand experiences of fathers of children with autism. Studies were appraised for quality and many theoretical and methodological deficiencies identified. Six studies met quality appraisal criteria and three main themes of findings from these studies were generated: (1) adaptation and concern with the future, (2) the importance of cultural context, and (3) reverence for one's child and new opportunities. Fathers' experiences illuminate a need for father-oriented resources that recognize fathers' value in children's lives.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.048 | 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 teacher head, 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".