Searching for ethical leadership in nursing
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: Attention to ethical leadership in nursing has diminished over the past several decades. OBJECTIVES: The aim of our study was to investigate how frontline nurses and formal nurse leaders envision ethical nursing leadership. RESEARCH DESIGN: Meta-ethnography was used to guide our analysis and synthesis of four studies that explored the notion of ethical nursing leadership. PARTICIPANTS AND RESEARCH CONTEXT: These four original studies were conducted from 1999-2008 in Canada with 601 participants. ETHICAL CONSIDERATIONS: Ethical approval from the original studies covered future analysis. FINDINGS: Using the analytic strategy of lines-of-argument, we found that 1) ethical nursing leadership must be responsive to practitioners and to the contextual system in which they and formal nurse leaders work, and 2) ethical nursing leadership requires receiving and providing support to increase the capacity to practice and discuss ethics in the day-to-day. DISCUSSION AND CONCLUSION: Formal nurse leaders play a critical, yet often neglected role, in providing ethical leadership and supporting ethical nursing practice at the point of patient care.
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 | 0.052 | 0.160 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.004 | 0.052 |
| 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