Views on Unsafe Nursing Students in Clinical Learning
Bibliographic record
Abstract
Clinical education is a cornerstone of undergraduate nursing education programs. Although protecting patient safety in clinical learning experiences is a standard of practice, no standard definition of the "unsafe" student exists. The purpose of this study was to describe the viewpoints of undergraduate student nurses and their clinical educators about unsafe clinical student practices. Using Q methodology, 57 students and 14 clinical educators sorted 39 unsafe student practice statements. These statements were generated from an integrated review of nursing and related literature and two undergraduate student focus groups. The use of centroid factor analysis with varimax rotation produced three dimensions of unsafe student practices. An unsafe student was characterized by his/her Compromised Professional Accountability, Incomplete Praxis, and Clinical Disengagement. A shared attribute among these three features was violated professional integrity. While students' affective, cognitive, and praxis competencies were priority elements in the conceptualization of unsafe student practice, this study also identified the salient role of educators as active participants in preparation of safe practitioners.
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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 | 0.047 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".