The Role of Personality in Early Alliance Formation in the Context of Clinical Supervision of Psychotherapists in Training
Bibliographic record
Abstract
The literature suggests that working alliance is an important predictor of clinical supervision outcomes. However, little is known about the individual factors that influence the development and maintenance of the working alliance. This study aims to explore the role of supervisor and trainee personality traits in the development of early working alliances, as well as supervisor and trainee concordance rates in the context of clinical supervision. This study used the NEO-PI-3 measure to assess personality traits and the Working Alliance Inventory-Supervisor and Trainee Versions (WAI) measures to assess working alliance ratings. Results suggest that supervisors rate the strength of their alliances as significantly stronger than trainees (p < .05). While no trainee personality traits were found to predict their perception of the early alliance, the openness domain was found to be significantly associated to supervisor’s self-reported ratings of alliance. Implications of these findings are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".