A Practitioner Model for Increasing Eye Contact in Children With Autism
Bibliographic record
Abstract
Although many teaching techniques for children with autism spectrum disorder (ASD) require the instructor to gain the child's eye contact prior to delivering an instructional demand, the literature contains notably few procedures that reliably produce this outcome. To address this problem, we evaluated the effects of a sequential model for increasing eye contact in children with ASD. The model included the following phases: contingent praise only (for eye contact), contingent edibles plus praise, stimulus prompts plus contingent edibles and praise, contingent video and praise, schedule thinning, and maintenance evaluations for up to 2 years. Results indicated that the procedures increased eye contact for 20 participants (one additional participant did not require consequences). For 16 participants, praise (alone) was not sufficient to support eye contact; however, high levels of eye contact were typically maintained with these participants when therapists used combined schedules of intermittent edibles or video and continuous praise. We discuss some limitations of this model and directions for future research on increasing eye contact for children with ASD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".