What Helps and What Hinders in Cross-Cultural Clinical Supervision
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study investigated what helped and what hindered in cross-cultural supervision. The participants were 25 visible minority graduate students and early counseling professionals. They were individually interviewed according to an expanded version of Flanagan’s critical incident technique. The most frequently cited positive themes were subsumed in five key areas: (a) personal attributes of the supervisor, (b) supervision competencies, (c) mentoring, (d) relationship, and (e) multicultural supervision competencies. The most frequently reported negative themes were grouped into five areas: (a) personal difficulties as a visible minority, (b) negative personal attributes of the supervisor, (c) lack of a safe and trusting relationship, (d) lack of multicultural supervision competencies, and (e) lack of supervision competencies. The results support a person-centered mentoring model of effective supervision.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it