“Our Journey, Our Choice, Our Future”: Huu‐ay‐aht First Nations’ Self‐Government enacted through the Maa‐nulth Treaty with British Columbia and Canada
Bibliographic record
Abstract
Abstract In 2011, Huu‐ay‐aht First Nations became one of five Nuu‐chah‐nulth Nations on the west coast of Vancouver Island in Canada to implement the Maa‐nulth Treaty with the Province of British Columbia and Canada. Modern treaties are dense and lengthy legal documents that exhaustively set out the obligations of each signatory party. They are heavily criticised for being unjust extensions of colonialism that limit Indigenous self‐determination and transform homelands under settler colonial property regimes. Yet, some First Nations accept these agreements as their chosen path for self‐government in state structures. We document Huu‐ay‐aht First Nations’ decision‐making that resulted when the Maa‐nulth Treaty was implemented and replaced the Indian Act by analysing the Maa‐nulth Treaty and interviews conducted with Huu‐ay‐aht First Nations leadership. We demonstrate how ʔiisaak (respect) and ʔuuʔałuk (taking care of) guided Huu‐ay‐aht First Nations’ self‐government, while nesting this discussion in the complexities and critiques of modern treaties.
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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 | 0.005 | 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 | 0.042 | 0.034 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".