Can Native Nations Sovereignty or Self Governance Fit Within a Modern International Paradigm? Lessons To Be Learned
Bibliographic record
Abstract
This paper examines how indigenous people’s sovereignty and legal system, may not mesh adequately with the United States legal system. The issues and injustices indigenous peoples feel are not unique to the United States. Canada has experienced similar cultural and legal issues and has come up with a unique solution to the problems created. I intend to examine the problems from both a historical and legal societal perspective. And then suggest some potential solutions. The value of this paper is that it helps us to recognize the valuable resources we have in our diverse population and how to effectively utilize and, most importantly recognize their unique and varying skill sets. By including these peoples into our collective fabric, we will yield a better society. The fabric of our society can seem much like conventional clothing fabric, which is strengthened by the introduction of another element into the mix.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.041 |
| Scholarly communication | 0.012 | 0.022 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".