The Experience of Mindfulness for Children with Autism: An Examination of Self-Report and Electrodermal Response
Bibliographic record
Abstract
Little is known about how children with autism respond to mindfulness activities within cognitive behavioural therapy (CBT). As many children with autism also struggle to report their emotional experience, this study explored how enjoyment ratings of therapeutic activities within a CBT intervention were associated with physiological arousal, and whether patterns of arousal differed for mindful as compared to computer activities. Data was collected during a 10-week CBT-based emotion regulation intervention for children with autism (N = 35). Multilevel growth modeling revealed that greater mindfulness enjoyment was predicted by higher autism symptoms, greater child motivation to participate in therapy and greater child worry dysregulation. Greater computer enjoyment was predicted by greater child motivation to participate in therapy. Lower mindfulness arousal was predicted by higher child-reported ability to cope with worry. Findings lay groundwork towards a psychological profile of school-age children with autism who may derive particular enjoyment from mindfulness activities.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".