Human rights and nursing codes of ethics in Canada 1953–2017
Bibliographic record
Abstract
Human rights are foundational to the health and well-being of all individuals and have remained a central tenet of nursing's ethical framework throughout history. The purpose of this study is to explore continuity and changes to human rights in nursing codes of ethics in the Canadian context. This study examines nursing codes of ethics between the years 1953 and 2017, which spans the very first code in Canada to the most recently adopted. The historical method is used to compare and contrast human rights language, positioning and descriptions between different code editions. The findings suggest there has been very little change in how human rights have been included within the Canadian nursing codes of ethics. Furthermore, we consider how changes within the nursing profession have influenced the authority of codes of ethics and their ability to support nurses in carrying out ethical obligations specific to human rights. Finally, the impacts and implications of these changes are discussed concerning the protection of human rights in today's healthcare landscape in Canada.
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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 | 0.008 | 0.021 |
| 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 | 0.001 | 0.028 |
| 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; both teacher heads agree on what is shown here.
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".