Involvement of Youths with Autism Spectrum Disorders or Intellectual Disabilities in Multiple Public Service Systems
Bibliographic record
Abstract
The objectives of this study were to estimate the prevalence of autism spectrum disorders (ASD) and intellectual disability (ID) among youths active in at least one of five public service systems - mental health [MH], educational services for youth with serious emotional disturbance [SED], child welfare [CW], juvenile justice [JJ], and alcohol and drug services [AD].This study also reports the characteristics and patterns of system involvement among these youths. Results indicate that approximately 12% of a random sample of youths involved in these public service systems had ID or ASD. These disabilities were particularly prevalent in youth in the SED (25%), MH (13%), and CW (13%) systems and were less prevalent in the JJ and AD systems (4% each). Youths with ID or ASD were more likely than other youths to be Caucasian, have a higher socioeconomic status, and be more likely to have externalizing psychiatric and other problems. Of those with ASD or ID, approximately one third were served in more than one service system, with the MH and SED systems most likely to be serving youths with externalizing psychiatric disorders. These findings have important implications for service provision, treatment planning, and workforce development.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".