Using the FRAME Framework to Understand Therapist-Led Adaptations to the Secret Agent Society Program for Autistic Children
Bibliographic record
Abstract
Autistic children often receive support for mental health and emotional challenges through community-based group-format cognitive behavioural therapy (CBT). CBT is manualized, but in community settings, interventions tend to not be delivered as intended. Inherent individual preferences and behavioural challenges in autistic children often lead to intervention adaptations that better suit individual client needs. This study used the FRAME framework to categorize and understand adaptations made to the Secret Agent Society: Small Group (SAS: SG) CBT program for autistic children (8-12 years). Interviews were conducted with therapists and then transcribed, analyzed and thematically coded using the framework. Results indicate that adaptations were primarily unplanned, content-based, and modifications were made based on clients' cognitive capacity. These results can provide useful information to help identify adaptations that do not interfere with the effectiveness of programming.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".