A COMPARISON OF NORTH AMERICAN AND EUROPEAN CONCEPTUALIZATIONS OF CLINICAL SUPERVISION
Bibliographic record
Abstract
Examination of the extant North American and European substantive literature indicates two differing conceptualizations of the purpose and resultant practice of clinical supervision (CS). The North American conceptualization creates the need for all supervisors to be more "expert" in the particular speciality of nursing than the supervisee, and this paper explores some of the hitherto unanswered issues arising from this. The European conceptualization posits supervision as a forum for considering the personal, interpersonal, and clinical aspects of care so as to develop and maintain nurses who are skilled and reflective practitioners. This situation creates the need for supervisors to be effective at supporting nurses in self-monitoring, identifying difficulties in practice, and finding the proper place to make good the deficit, not necessarily to be more expert in the particular nursing speciality.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".