Effects of Incivility in Clinical Practice Settings on Nursing Student Burnout
Bibliographic record
Abstract
AIMS: To examine the relationship between nursing students' exposure to various forms of incivility in acute care practice settings and their experience of burnout. BACKGROUND: Given that staff nurses and new nurse graduates are experiencing incivility and burnout in the workplace, it is plausible that nursing students share similar experiences in professional practice settings. DESIGN AND SAMPLE: A cross-sectional survey design was used to assess Year 4 nursing students' (n=126) perceptions of their experiences of incivility and burnout in the clinical learning environment. METHODS: Students completed instruments to assess frequency of uncivil behaviors experienced during the past six months from nursing staff, clinical instructors, and other health professionals in the acute care practice setting and to measure student burnout. RESULTS: Reported incidences of incivility in the practice setting were related to burnout. Higher rates of incivility, particularly from staff nurses, were associated with higher levels of both components of burnout (emotional exhaustion and cynicism).
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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 | 0.003 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".