Training Care Teams of Children with Autism Spectrum Disorders in Positive Behaviour Support: An Innovative Approach
Bibliographic record
Abstract
As part of a team, the authors developed a workshop to help parents and teams address the behavioural needs of children with autism using a positive behaviour support (PBS) approach.Teams received comprehensive training in PBS and completed weekly homework assignments.Measures of participant satisfaction, parent satisfaction and efficacy and child behaviour suggested this training as an effective intervention for these teams.Participants reported improvements and the effective implementation of strategies after involvement in the workshops.This innovative model suggests potential for teams struggling with communication challenges in addressing problem behaviours in children with autism.I n the greater Edmonton region, the Joint Action for Children Committee (JACC) is an intersectoral working group of administrators from child and youth servicing organizations that provide health, education, protective and support services to children, youth and their families.The purpose of JACC is to improve the coordination of services and outcomes for families and the agencies that serve them in this region.In response to increasing reports of crises being experienced by families of children with autism, JACC developed a pilot project in 2010 that focused on building capacity in families and their care teams in effective behavioural support.This article describes an innovative training initiative aimed at
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| 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".