Preschool autism services: A tale of two Canadian provinces and the implications for policy
Bibliographic record
Abstract
For children with autism spectrum disorder (ASD), a lifelong neurodevelopmental condition, assessment and treatment services vary widely across Canada-potentially creating inequities. To highlight this, the Preschool Autism Treatment Impact study compared children's services and outcomes in New Brunswick (NB) and Nova Scotia (NS). Diagnostic practices, service delivery models, wait times, and treatment approaches differed, as did children's 1-year outcomes and costs for families and the public sector. Considering NB and NS strengths, we suggest that an optimal system would include: rapid access to high-quality diagnostic and intervention services; adherence to research-informed practice guidelines; interventions to enhance parents' skills and self-efficacy; and measures to minimize financial burdens for families. Our results also suggest that provinces/territories must do more to ensure equitable access to effective services, including sharing and reporting on national comparative data. Canadian children with ASD deserve access to effective and consistent services, no matter where they live.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".