The Wetiko Legal Principles: Cree and Anishinabek Responses to Violence and Victimization by Hadley Louise Friedland
Bibliographic record
Abstract
Can we reject a monstrous act without rejecting the actor as a monster? This is the question occupying Hadley Louise Friedland, Assistant Professor of Law at the University of Alberta, in The Wetiko Legal Principles: Cree and Anishinabek Responses to Violence and Victimization. Speaking broadly, the book is dedicated to identifying and examining Indigenous laws for guidance on how Indigenous communities can deal with high rates of interpersonal violence in Indigenous communities today, particularly violence against children. The innovation in Friedland’s work is her creative use of source material: She takes as her starting point traditional Cree and Anishinabek stories about wetikos, or cannibal giants, which she positions as vestibules of Indigenous law. In Friedland’s view, wetiko stories contain legal principles and practical resources that can help First Nations manage community members who act violently toward others. It is her task, as a scholar, to examine those stories through a legal lens and mine them for solutions to a rarely acknowledged problem.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.022 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| 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".