Bibliographic record
Abstract
Background: The significance of ethical and serving nursing leadership is the greatest contributing factors to attain good and quality assured care for patients. Prioritizing an ethical attitude and value base within the different levels of healthcare organizations opens up for well-being among patients, nurses, and nurse leaders. Polarization and many restructurings have changed the value base of healthcare organizations and the nursing culture so that serving and ethical values have been deprioritised rather than reinforced. Objective: To deepen the understanding of serving and ethical nursing leadership and to examine how nurse leaders through their ethos can pave the way toward the evident – the good, the truthful and the beautiful serving in the context of nursing administrations.Methodology: Qualitative, descriptive and hermeneutic approach with inductive elements. The material consists of deep interviews with six nurse leaders. The hermeneutic reading act and interpretation of the interview texts are inspired by Hans-Georg Gadamer’s philosophical thought.Result: Ethical leadership that serves the guest of honour of the healthcare organization, the patient, and the caring culture are made visible in the context of nursing administration through “The good, the truthful and the beautiful” timeless movement directed toward health, healing and the meaning of life. Ethos gives to nursing leadership a value base and fundamental attitude, and is linked to the responsibility of nursing administrations, dignity and holiness.Implications for nursing management: Ethical and serving nurse leaders are attractive and legitimate role models for today’s nursing administrations. Nurse leaders’ direct influence, ethos and serving are factors that are closely connected with the ethical climate of the healthcare organization.
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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 | 0.000 | 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) | 0.000 | 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".