Predictors of Nursing Faculty Job and Career Satisfaction, Turnover Intentions, and Professional Outlook: A National Survey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Retaining talented and experienced nurses in clinical practice and academia is crucial for maintaining continuity, ensuring high-quality care and education, and fostering a positive work environment. Although factors influencing nursing staff retention are well documented, little is known about how workplace factors impact nursing faculty retention outcomes. METHODS: A national survey involving 645 nursing faculty across Canada was undertaken. Multivariate regression analysis with interaction effects was conducted to determine the association between work-related factors (i.e., workplace culture and work-life imbalance) and faculty job and career satisfaction, turnover intentions, and professional outlook. RESULTS: Supportive workplace culture positively influenced faculty job and career satisfaction and professional outlook, while it negatively impacted turnover intentions. Conversely, work-life imbalance decreased faculty job and career satisfaction and professional outlook (i.e., confidence in nursing program, profession), and it increased intentions to leave the job. CONCLUSION: Our results offer insights into the work-life experiences of Canadian faculty members and shed light on key factors that impact their job-related outcomes. In the context of competing resources, every effort must be made to improve modifiable workplace factors such as the academic work environment and create targeted interventions and policies to promote faculty retention.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it