Co‐creating a school‐based <i>Facing Your Fears</i> anxiety treatment for children with autism spectrum disorder: A model for school psychology
Bibliographic record
Abstract
Abstract Across the disciplines of psychology, the research to practice gap is gaining recognition. This study used an integrated knowledge translation (iKT) framework to evaluate the acceptability, feasibility, and sustainability of delivering an anxiety intervention for children with autism spectrum disorders (i.e., FYF), in schools. Five participants (three educators and two parents) offered their perspectives on program strengths, barriers to implementation, and adaptations for the school setting. Qualitative data were collected through focus group discussions and analyzed using thematic analysis techniques. The participants provided valuable information about program structure and considerations for implementation in schools. Results indicated that participants found the proposed modified FYF to be acceptable and feasible and recommended pilot testing the intervention. Specific recommendations for adaptations are discussed. This study offers a model for researchers to collaborate with key stakeholders in adapting interventions for use in schools, thereby, bridging the gap between research and practice.
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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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".