The impact of early empathy on alliance building, emotional processing, and outcome during experiential treatment of depression
Bibliographic record
Abstract
OBJECTIVE: This study examined the relationships among the therapist process of expressed empathy during first sessions, clients' post-session one alliance reports, clients' later working phase emotional processing, and clients' final reductions in depressive symptoms for 30 clients receiving short-term experiential therapy for depression. METHOD: The therapist process of expressed empathy was assessed using a new observer-rated measure: the measure of expressed empathy, which was demonstrated to be valid and reliable. RESULTS: Results indicate that therapist expressed empathy in session one significantly affected the outcome, albeit indirectly. This indirect effect occurred through two direct effects on other important therapy processes that did directly predict client outcomes: (i) Therapist expressed empathy in first sessions directly and positively predicted client reports of first-session alliances; and (ii) therapist expressed empathy directly predicted observer-rated deepened client emotional processing in the working phase of therapy. CONCLUSIONS: Empirical support was provided for the theorized relationships in experiential theory amongst the variables examined.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".