Is <i>how</i> it is said important? The association between quality of therapist interventions and client processing
Bibliographic record
Abstract
This study examined the association between the quality of therapist interventions and client in‐session processing using the York Therapist Process Measure (YTPM; Toukmanian and Armstrong, 1998). The instrument's three dimensions — attunement, tentativeness and meaning exploration — were tested separately for their impact on clients' manner of processing and depth of experiencing. For each of the 20 mild‐moderately depressed clients, treated in short‐term experiential therapy, a high and a low client‐process segment was isolated from a session that was judged by an experienced therapist to manifest the greatest amount of “good therapy moments”. Therapist interventions within these segments were then rated on the YTPM. Results revealed significant differences in the quality of therapist interventions between high and low segments. Attunement and tentativeness were associated significantly with greater complexity in manner of processing, and meaning exploration with greater depth in experiencing. The implications of these findings for psychotherapy research and practice are discussed.
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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 | 0.005 | 0.059 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".