Workplace Incivility and New Graduate Nurses’ Mental Health
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to examine the relationships between coworker, physician, and supervisor workplace incivility and new graduate nurses' mental health and the protective role of personal resiliency. BACKGROUND: Positive interpersonal relationships in healthcare work environments are important for new graduate nurses' career transition and commitment. Workplace incivility threatens new graduate nurses' health and well-being. Personal resiliency helps employees to recover from negative stressors and may protect new nurses from the negative effects of workplace incivility. METHODS: We surveyed 272 new graduate nurses in Ontario to explore the influence of 3 forms of workplace incivility and personal resiliency on new nurses' mental health. RESULTS: All sources of incivility were related to poor mental health. Results suggest that personal resiliency may protect nurses from the negative effects of incivility. CONCLUSIONS: New nurses are experiencing workplace incivility from a variety of sources in their work environments, which have detrimental effects on their workplace well-being.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".