Nêhiyaw Âskiy Wiyasiwêwina: Plains Cree Earth Law and constitutional/ecological reconciliation
Bibliographic record
Abstract
I set out on this research concerned with human relations to the ecological world, and the role of law in these relationships. As one theory of nêhiyaw (Plains Cree) law and constitutionalism enables strong kinship relations between the nêhiyawak and non-human beings and things, I explore how nêhiyaw law can be revitalized to reconcile our land relationships. Wâhkôtowin, or the overarching principle that governs our relations, ensures that wellness and good living –miyo pimâtisiwin – is not only a human objective, but shared intersocietally with non-human relations and entities. This dissertation examines the constitutive role that four areas of Plains Cree livelihood – nêhiyaw âcimowina (narrative processes), nêhiyaw âskiy (Plains Cree territory and territoriality), nêhiyawewin (Plains Cree language) and nêhiyaw mamâhtâwiwina (Plains Cree ceremony) – play in ensuring such good living. Taking a ‘law as weaving’ approach’, these areas and institutions form a web to support kind relations to our environments and ecologies. Treaties provide an integral avenue to revitalize the uses of nêhiyaw law in our land relations. Canadian constitutionalism’s primary focus on human-to-human relations, without constitutional consideration of the agency of the ecological world, has had harmful effects on the wellness of non-human beings and things. When we apply the legal and constitutive principles within Plains Cree law and constitutionalism to Treaty 6, they obligate both the Crown and peoples within Canada in the same manner.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.015 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".