A comparison of written exposure with and without rescripting for the treatment of generalized anxiety disorder
Bibliographic record
Abstract
The present study examined whether written exposure enhanced with rescripting is more efficacious in reducing GAD symptoms, worry, and related cognitive difficulties than written exposure to the same worst-case scenario or neutral writing. Adults with GAD (N = 67) were randomly assigned to one of three conditions and engaged in 30-minute writing sessions on 3 consecutive days: (1) worst-case scenario exposure; WE (2) written exposure with rescripting; RWE (3) Neutral Control; NC. Participants in both exposure conditions displayed significant reductions in worry and fear of emotions from baseline to 1-month follow-up, but NC participants did not. Participants in the RWE condition also displayed significant improvements in negative problem orientation, perceived cost of the feared scenario, and coping; participants in the WE or NC did not. Findings suggest that overall, RWE was not superior to WE; both written exposure interventions have strong potential to help individuals who suffer from GAD.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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".