Understanding the Ongoing Dialogues on Indigenous Issues in Canadian Legal Education Through the Lens of Institutional Cultures (Case Studies at UQAM, UAlberta, and UMoncton)
Bibliographic record
Abstract
This paper offers an empirical study of the discourses and attitudes at three law faculties regarding Indigenous issues in legal education. After the catalyst effect of the TRC report, law faculties across Canada are facing the great challenge of taking their part in the process of reconciliation. This paper highlights how the modalities of the dialogue in each faculty correspond to each institution’s culture, approached through their history, social space, and sense of mission. Through interviews with faculty members and observations at public events at UQAM, UAlberta, and UMoncton, this paper treveals the stark contrasts between the three case studies on topics such as traditional territories acknowledgements, Indigenous content in curricula, and recruitment of Indigenous faculty members and students. This analysis offers a deeper understanding of the diversity of legal education across Canada, and what it means for the way law faculties respond to contemporary challenges.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.053 | 0.037 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".