Using Mobile Technology to Reduce Engagement in Stereotypy: A Validation of Decision-Making Algorithms
Why this work is in the frame
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Bibliographic record
Abstract
We developed an iOS app, the iSTIM, designed to support parents of children with autism spectrum disorders (ASD) in reducing common repetitive vocal and motor behavior (i.e., stereotypy). The purpose of our study was to preliminarily test the decision-making algorithms of the iSTIM using trained university students to implement the assessments and interventions. Specifically, we examined the effects of the iSTIM on stereotypy and functional engagement in 11 children with ASD within alternating treatment designs. Using the iSTIM reduced engagement in stereotypy for eight participants and increased functional engagement for four of those participants. Our results indicate that the iSTIM may decrease engagement in stereotypy but that some of the decision-making algorithms may benefit from modifications prior to testing with parents.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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 it