Clinical ethical conflicts of nurses and physicians
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
Much of the literature on clinical ethical conflict has been specific to a specialty area or a particular patient group, as well as to a single profession. This study identifies themes of hospital nurses' and physicians' clinical ethical conflicts that cut across the spectrum of clinical specialty areas, and compares the themes identified by nurses with those identified by physicians. We interviewed 34 clinical nurses, 10 nurse managers and 31 physicians working at four different Canadian hospitals as part of a larger study on clinical ethics committees and nurses' and physicians' use of these committees. We describe nine themes of clinical ethical conflict that were common to both hospital nurses and physicians, and three themes that were specific to physicians. Following this, we suggest reasons for differences in nurses' and physicians' ethical conflicts and discuss implications for practice and research.
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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 | 0.016 | 0.052 |
| 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.003 | 0.031 |
| 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