Designing Studies to Evaluate Parent-Mediated Interventions for Toddlers With Autism Spectrum Disorder
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Given recent advances in science, policy, and practice of early identification in autism spectrum disorder (ASD), questions about the effectiveness of early intervention have far-reaching service and policy implications. However, rigorous research evaluating the efficacy and effectiveness of intervention programs for toddlers with ASD faces a multitude of novel scientific challenges. The Autism Speaks Toddler Treatment Network (ASTTN) was formed in 2007 to provide an infrastructure for ongoing communication between the investigators of eight research projects evaluating parent-mediated interventions for toddlers with ASD. The present article describes and compares the research studies of the ASTTN; highlights specific challenges with regard to research design, participants, recruitment, eligibility criteria, enrollment, and intervention approach; and outlines practical considerations that may guide the next generation of parent-mediated intervention studies involving toddlers with ASD.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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