Indigenous Environmental Justice and Sustainability: What Is Environmental Assimilation?
Bibliographic record
Abstract
Canada has a long history of assimilative efforts with respect to Indigenous peoples. Legal assimilation efforts occurred on two fronts: the voluntary and involuntary enfranchisement of First Nations people, and the dissolution of First Nations reserve lands. Cultural assimilation occurred through the residential school system, and the removal of Indigenous children from their homes by Canadian child welfare agencies in the “sixties scoop”. Another form of assimilation is through environmental assimilation. I define environmental assimilation as changes to the environment through development, to the extent whereby the environment can no longer support Indigenous cultural activities. Herein, I examine environmental assimilation in northern Ontario, Canada. The “taken-up” clause in Treaty No. 9, the “Exemption Orders” in the Far North Act, the “Except” stipulation in the Mining Amendment Act, and the unilateral streamlining of projects in the Green Energy Act and the COVID-19 Economic Recovery Act—these pieces of legislation pose threats to the environment and serve to facilitate the reality of contemporary environmental assimilation of First Nations.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.025 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".