A novel psychotherapy for low‐needs youth on the autism spectrum with emotional regulation challenges
Bibliographic record
Abstract
Abstract The externalising of problems and implementation of interactive metaphors may improve emotional regulation of those clients presenting with autism spectrum disorder. This paper describes a new eight‐session treatment protocol in terms of using preferred interest metaphors with the strengths and strategies of client and family across the home, school, and community settings of client life. This exploratory treatment intervention uses externalising metaphors therapy as a brief treatment modality, addressing emotional regulation concerns of youth on the autism spectrum. The treatment model concretises affective states and creatively leverages visual strengths to improve this common presenting concern for this population. A case study on family therapy is presented with the protocol overview and illustrations. Further research is needed to address the testable hypotheses and identify the mediators of change resulting from this current model. This research would help to establish best practices in a clinical population for which there is no broadly accepted treatment paradigm. Mr. McGuinty has indicated that there are no conflicts of interest in this manuscript.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".