Concluding Remarks: Miyo-wîcêhtowin, R v Stanley, and Our Future as Lawyers
Bibliographic record
Abstract
Miyo-wîcêhtowin. It is a term I have learned to express the idea of good behaviour; responsibility to others; and not forgetting those who are the most forgotten, the most in need of help, those whose ways we most benefit from. It is Cree, but its nature and scope is not necessarily unique to Cree circles. It is reinforced by religious references, standards for professional certification and volunteer groups, and personal choices. It is also woven into Canada’s legal system, whether in judicial decisions or in academic or professional discussions. So while we can see it when appreciating cultural tenets or our own morality, it is also described as being part of law. The idea of good behaviour, and how that idea was observed and challenged, was constantly raised by myself and some colleagues as the trial of Gerald Stanley started. It was on all of our minds as we, and our fellow people in Canada, learned of the jury’s verdict.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.027 | 0.035 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".