Male RNs: Work Factors Influencing Job Satisfaction and Intention to Stay in the Profession
Bibliographic record
Abstract
Males represent approximately 6.8% of registered nurses in Canada and consequently constitute an untapped health workforce resource. The authors investigated environmental work factors in the acute-care setting and their influence on male RNs' job satisfaction and intention to stay in the profession. They conducted a cross-sectional study of male RNs employed in acute-care settings in the province of Ontario. Correlations and multiple regression analyses were used to examine career satisfaction and intentions. Nurses who were most satisfied with their career valued extrinsic rewards (pay, vacation, and benefits), control and responsibility, and opportunities for professional development; those who were least satisfied and voiced their intention to leave the profession tended to work part time, experience gender mistreatment, and be dissatisfied with extrinsic awards, scheduling, and organizational support. A unique finding of this study relates to the significant predictive relationship between gender mistreatment and males' intention to leave.
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How this classification was reachedexpand
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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".