Effects of background music on socially reinforced problem behaviors in children with autism spectrum disorders
Bibliographic record
Abstract
Prior research has shown that background music may be effective at reducing problem behaviors maintained by non-social (sensory) reinforcement in children with autism spectrum disorders (ASD). However, no study has examined the effects of background music on socially-reinforced problem behaviors, which are also common in this population. Thus, the purpose of our study was to extend previous research by examining the effects of background music on engagement in problem behaviors maintained by social reinforcement in children with ASD. Following a music preference assessment and a functional analysis, we used an alternating-treatment design to examine the effects of background music on problem behaviors in three children with ASD. Background music produced clear reductions in problem behaviors for one participant and marginal reductions in a second participant. Albeit preliminarily, our results indicate that background music may reduce engagement in problem behaviors maintained by access to other socially-mediated reinforcers.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".