Aboriginal Health Care and Bioethics: A Reflection on the Teaching of the Seven Grandfathers
Bibliographic record
Abstract
Contemporary bioethics recognizes the importance of the culture in shaping ethical issues, yet in practice, a process for ethical analysis and decision making is rarely adjusted to the culture and ethnicity of involved parties. This is of a particular concern in a health care system that is caring for a growing Aboriginal population. We raise the possibility of constructing a bioethics grounded in traditional Aboriginal knowledge. As an example of an element of traditional knowledge that contains strong ethical guidance, we present the story of the Gifts of the Seven Grandfathers. We note a resemblance of this Ojibway teaching to virtue ethics in European traditions, but we suggest that there are also important differences in how these two traditions are currently presented. We hope that further engagement with a variety of indigenous moral teachings and traditions could improve health care involving Aboriginal patients and communities, and enrich the discipline of bioethics.
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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 | 0.027 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.051 | 0.059 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.008 | 0.024 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".