Building musical lives: The impact of supporting musical play in the everyday lives of autistic children and their families
Bibliographic record
Abstract
Musical spaces have been observed to be highly engaging for autistic children, ameliorating barriers often experienced in communication and interaction. Music interventions with this group are widespread and have frequently noted the importance of integrating caregivers. Yet beyond music therapy, there is limited research on how to support music-making in daily life for autistic children and their families. In particular, there is a lack of long-term ecological evidence with this group for how music can support everyday functioning, care routines, and wellbeing. In this study, 25 families participated in a 12-month program which supported the integration of music into everyday life. Families were interviewed at the end of the project regarding the effectiveness of music as a support for daily routines, play, and wellbeing. Qualitative thematic analysis highlighted how families implemented musical strategies in widespread ways as a medium to support communication, create valued opportunities for shared interaction, and as a way to scaffold everyday caring routines. Families’ uses of musical play strategies, as observed in this study, emphasize the importance of incorporating caregivers and home environments as part of arts programs for autistic children, and the effectiveness of empowering parents to use music as a tool to navigate everyday life.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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".