Work Environment Characteristics and Emotional Intelligence as Correlates of Nurses’ Compassion Satisfaction and Compassion Fatigue: A Cross-Sectional Survey Study
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
This cross-sectional survey study examined the relationship between Canadian nurses’ work environment characteristics, emotional intelligence, compassion fatigue and compassion satisfaction (n = 1271). Psychological demands, decision latitude, supervisor and coworker support, and emotional intelligence (EI) were significantly correlated with nurses’ compassion satisfaction and compassion fatigue, except for two EI subscales. Furthermore, these relationships were stronger for compassion satisfaction than compassion fatigue, suggesting that they are influenced by different factors. Our results highlight the importance of creating reasonable psychological demands, empowering nurses to make decisions in their jobs, supportive relationships at work, and fostering the development of nurses’ EI.
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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 | 0.001 | 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) | 0.001 | 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