Differential effects of emotion-focused therapy and psychoeducation in facilitating forgiveness and letting go of emotional injuries.
Bibliographic record
Abstract
This study compared the effectiveness of emotion-focused therapy (EFT) involving gestalt empty-chair dialogue in the treatment of individuals who were emotionally injured by a significant other with therapy in a psychoeducation group designed to deal with these injuries. In addition, this study examined aspects of the emotional process of forgiveness in resolving interpersonal injuries and investigated the relationship between letting go of distressing feelings and forgiveness. A total of 46 clients assessed as having unresolved, interpersonal, emotional injuries were randomly assigned to an individual therapy treatment of EFT or a psychoeducation group. Clients were assessed at pretreatment, posttreatment, and 3-month follow-up on measures of forgiveness, letting go, depression, global symptoms, and key target complaints. Results indicated that clients in EFT using empty-chair dialogue showed significantly more improvement than the psychoeducation treatment on all measures of forgiveness and letting go, as well as global symptoms and key target complaints.
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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 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".