Erasure No More: Canada's First Nation's Resurgence of Land-Based Practices
Bibliographic record
Abstract
Resurgence is the 21st century revitalization of traditional practices and governance to create an alternative future for Indigenous communities as articulated by North American Indigenous scholars: Leanne Simpson, Glen Coulthard, Taiaike Alfred, and Jeff Corntassel. Theoretical works and findings of Resurgence were a response to the settler-colonial narrative of dispossession policies directed at the removal of Indigenous communities from their land. In response, Indigenous scholars have used Resurgence to showcase alternatives to protecting Indigenous land rights and cultural practices. This is being done through a national liberation and the rejuvenation of cultural values, practices, language, and art. This paper shows an array of Indigenous Resurgence land-based practices that have variations from traditional to more contemporary innovative examples of Resurgence. This is the beauty of Indigenous Resurgence, because it shows the power of the indigenous collective to adapt, readjust, and prevail in contemporary times. Not only this but it shows the strength within these communities that their cultural identity will not be erased.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".