Cognitive errors, coping patterns, and the therapeutic alliance: A pilot study of in‐session process
Bibliographic record
Abstract
Abstract Aim: This exploratory study examined the association between clients’ assessment of the therapeutic alliance and their cognitive errors (CE) and coping action patterns (CAP). Method: Selected therapy sessions of clients (N = 26) were rated for cognitive errors and coping action patterns using the CERS and CAPRS methods (Drapeau, Perry, & Dunkley, 2008; Perry, Drapeau, & Dunkley, 2005). The therapeutic alliance was assessed using the Working Alliance Inventory (WAI; Horvath & Greenberg, 1989). Results: Following Bonferroni corrections, no significant relationship was found between clients’ CEs and their ratings of the WAI. However, the ‘Negotiation’ CAP was associated with the total alliance score, and with the Task and Goal subscales. Implications: A better understanding of the cognitive processes presented by clients in session can enable clinicians to address these factors early on when the alliance is most critical.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".