Exploring the Relationship Between the Supervisory Alliance and the Development of Reflexive Self-Awareness: A Mixed Methods Approach
Bibliographic record
Abstract
The study used embedded design to explore the relationship between alliance and perceived change in reflexive self-awareness in graduate trainees following counseling and psychotherapy programs (n = 48). Linear regression analyses were used to measure the predictive value of alliance on the development of supervisees' reflexive awareness. Qualitative reflexive thematic analysis was also conducted on critical incident reports of supervisees who perceived low vs strong alliances to gain greater in-depth understanding of the quantitative data. Results showed that the alliance does not directly predict observed changes in reflexive awareness. While alliance was found to create favorable conditions to support the development of reflexive self-awareness, it did not suffice to promote supervisees’ engagement in such development. Consequently, the results suggest it is important to consider difficulties in emotion regulation that may be inherent in the supervisory process to promote reflexive self-awareness in supervisees.
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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 | 0.027 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".