Inclusive education and best practice for children with autism spectrum disorder: an integrated approach
Bibliographic record
Abstract
Abstract Many parents of children with autism spectrum disorder (ASD) have reported general discontent with the services offered by the education system and have advocated for increased ASD‐specific services to better meet their children's educational needs. The elements of best practice offer an ideal model for educational support. There are, however, limitations to advocating ASD‐specific services. This paper describes how best practice for ASD as an educational model fits within what is described as authentic inclusion. Further, it is suggested that the ASD community align with the greater inclusive education reform movement. With the use of this unified model of education, all children will receive the educational support they require. Keywords: inclusive educationAutism Spectrum Disorderfamily experiences with inclusionbest practice for ASD Acknowledgements The authors gratefully acknowledge the funding from the Autism Research Training Program: Canadian Institute of Health Research, Autism Speaks, and Fonds de la Recherche en Santé Québec for this article.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".