Merging Evidence-Based Psychosocial Interventions in Schizophrenia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Psychosocial interventions are an essential part of the treatment for people with severe mental illness such as schizophrenia. The criteria regarding what makes an intervention "evidence-based" along with a current list of evidence-based interventions are presented. Although many evidence-based interventions exist, implementation studies reveal that few, if any, are ever implemented in a given setting. Various theories and approaches have been developed to better understand and overcome implementation obstacles. Among these, merging two evidence-based interventions, or offering an evidence-based intervention within an evidence-based service, are increasingly being reported and studied in the literature. Five such merges are presented, along with their empirical support: cognitive behavior therapy (CBT) with skills training; CBT and family psychoeducation; supported employment (SE) and skills training; SE and cognitive remediation; and SE and CBT.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it