The Tricksters Speak: Klooscap and Wesakechak, Indigenous Law, and the New Brunswick Land Use Negotiation
Bibliographic record
Abstract
In 2015, the University of New Brunswick hosted the Kawaskimhon Talking Circle Moot. The moot problem was based on the case of Buctouche First Nation v. New Brunswick. The applicant First Nation applied to the courts for an injunction opposing the New Brunswick government’s forest strategy. The forest strategy increased the annual harvesting of softwood timber while reducing the area of Crown-protected conservation forest. Participants were assigned clients and asked to represent these clients’ interests and perspectives. This article presents the argument made on behalf of the Council of Traditional Elders and Chiefs of the Mi’kmaq peoples. Their interests consist of protecting the traditional lands of the Mi’kmaq people while recognizing that the Mi’kmaq have a legal duty to the forests upon which they depend. The argument is presented as a dialogue between two Indigenous tricksters—Klooscap (a Mi’kmaq trickster) and Wesakechak (a Cree trickster). The tricksters advance their position using Mi’kmaq law. In particular, the tricksters focus on the environmental and constitutional principle of netukulimk. Netukulimk is a theory of sustainability that is offered as an alternative framework to the colonial laws that currently dominate Canadian Aboriginal legal issues. The use of Mi’kmaq law presents opportunities for self-governance by recognizing and applying Mi’kmaq legal obligations to the natural world. This article concludes with a brief commentary on the application of Indigenous law in this fictionalized context and its future as an influence on and alternative to Canadian Aboriginal law.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.044 | 0.048 |
| Scholarly communication | 0.018 | 0.008 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 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".