Bibliographic record
Abstract
Law's Indigenous Ethics examines the revitalization of Indigenous peoples' relationship to their own laws and, in so doing, attempts to enrich Canadian constitutional law more generally.Organized around the seven Anishinaabe grandmother and grandfather teachings of love, truth, bravery, humility, wisdom, honesty, and respect, this book explores ethics in relation to Aboriginal issues including title, treaties, legal education, and residential schools.With characteristic depth and sensitivity, John Borrows brings insights drawn from philosophy, law, and political science to bear on some of the most pressing issues that arise in contemplating the interaction between Canadian state law and Indigenous legal traditions.In the course of a wide-ranging but accessible inquiry, he discusses such topics as Indigenous agency, self-determination, legal pluralism, and power.In its use of Anishinaabe stories and methodologies drawn from the emerging field of Indigenous Studies, Law's Indigenous Ethics makes a significant contribution to scholarly debate and is an essential resource for readers seeking a deeper understanding of Indigenous rights, societies, and cultures.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.884 | 0.773 |
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; the direct Gemma label and the distilled Codex classifier 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".