The ethic of care: a moral compass for Canadian nursing practice
Bibliographic record
Abstract
The Ethic of Care: A Moral Compass for Canadian Nursing Practice, is unique from other nursing ethics textbooks in several key ways. The book adds a heightened dimension to the already rich knowledge in the field of applied nursing ethics and the ethic of care. The author argues that the ethic of care, or the moral imperative to act justly, be the guiding compass for everything that nurses do. It is with passion and conviction that nurses are encouraged to embody the ethic of care as a "lived virtue." Nurses are also inspired to be the leaders of tomorrow by working toward achieving accountability and sustainability in the Canadian publicly funded health care system and by effectively addressing social inequities. At the end of each chapter the author conveys real life case studies, as derived from her experiences as a critical care nurse, psychiatric nurse clinician and former Coroner. These vignettes bring the subject to life and serve as a means for applying newly acquired ethical knowledge.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.028 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".