Generational differences in nurses’ characteristics, job satisfaction, quality of work life, and psychological empowerment
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
Objective: Currently, there are four generations in the nursing workforce. Each generation holds a different set of values that create challenges for managing a multi-generational workforce; these values affect nurses’ perceptions of quality of work life (QWL), psychological empowerment (PE), and job satisfaction (JS). The aims of this study are to (1) identify differences in the characteristics of Baby Boomer, Generation X, and Millennial nurses, (2) identify differences in the QWL between Baby Boomer, Generation X, and Millennial nurses, (3) identify differences in JS between Baby Boomer, Generation X, and Millennial nurses, and (4) identify differences in PE between Baby Boomer, Generation X, and Millennial nurses. Methods: This descriptive, comparative design was conducted via a web-based survey among 223 registered nurses in the USA. Data was collected using Survey Monkey. Results: Baby Boomers had significantly more years of experience, higher levels of both PE and JS as compared to Generation X and Millennial nurses. Conclusions: The findings of this study indicate the prominence of RNs’ sociological value systems on their perceptions of their workplace. Based on these findings, nurse managers can work to create an environment that is supportive of multiple generations; an environment that enhances PE and, in turn, JS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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