Adverse Childhood Experiences: Piloting a Group Therapy Program Using Psychoeducation, Music Therapy, and the Creative Arts for Adults with Complex Concurrent Disorders in an Inpatient Setting
Bibliographic record
Abstract
Research shows a significant correlation between adverse childhood experiences (ACEs) and later adult mental health and addiction issues. There is currently no literature on therapeutic interventions to begin to redress their complex issues. Mental health, psychiatric, and addiction treatment centers often avoid tackling the manifold roots of dysfunction in clients' lives. We present the implementation of group therapy for clients with significant ACE histories, inspired by an initial in-service for clients on the subject of ACEs in mental health and addictions. Establishing group therapy for a broad spectrum of adverse childhood events proved to be an ambitious yet rewarding task. We discuss developing a comprehensive curriculum with a psychoeducational focus, a trauma-informed lens to support symptom management and resilience, and expressive elements by incorporating music therapy and the creative arts because of emerging evidence of the need for trauma recovery to engage in expressive and embodied outlets. Group observations and anecdotal evidence from clients' evaluations of the group support the urgent need for moving from research findings on ACEs to the implementation of group therapy.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".