Learning through interaction in children with autism: Preliminary data from asocial-communication-based intervention
Bibliographic record
Abstract
The study evaluates a social-communication-based approach to autism intervention aimed at improving the social interaction skills of children with autism spectrum disorder. We report preliminary results from an ongoing randomized controlled trial of 51 children aged 2 years 0 months to 4 years 11 months. Participants were assigned to either a target treatment or community treatment group. Families in the target treatment group were given 2 hours of therapy and coaching each week in an intervention emphasizing social-interaction and the parent-child relationship. Children in the community treatment group received a variety of services averaging 3.9 hours per week. After 12 months, outcomes were measured to determine changes in the groups in social interaction and communication. In addition, a regression analysis was conducted to determine whether changes in social interaction skills were associated with language development. Results suggest that children in the treatment group made significantly greater gains in social interaction skills in comparison to the community treatment group, but no between-group differences were found for standard language assessments. Initiation of joint attention, involvement, and severity of language delay were found to be significantly associated with improvement of language skills in children with autism. Finally caregiver skills targeted by the intervention were found to be significantly associated with changes in children's interaction skills.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".