Clinical Supervision: Challenging the Nursing Environment?
Bibliographic record
Abstract
Models of clinical supervision implementation generally focus on the importance of organisational culture. Questions remain regarding the detailed nature of such a culture. There is a scarcity of information related to the culture of the nursing environment in the Czech Republic; however, it is upon this culture that any future strategy must be based. The goal of this paper is to grasp the ways in which nurses in Czech hospitals perceive the culture of the nursing environment with regard to the implementation of clinical supervision. An explorative research design was used based on qualitative approach. Fourteen in-depth interviews were conducted face to face. The interviews were recorded, transcribed in full, and then coded. Thematic analysis and axial coding led to the paradigm model reversed face of the nursing environment which makes visible the contrasts between cultural features of the Czech nursing environment and the culture of supervision as perceived by informants. Given the research evidence regarding the similarities between nursing culture in various countries, the paradigm model might be a source of inspiration beyond the Czech context.
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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 | 0.015 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".