Land Claim Settlement in Canadian Arctic: Pragmatism and Instrumentalism at Work
Bibliographic record
Abstract
In Canada, comprehensive land claims based on Aboriginal title can be pursued through either litigation or negotiation. Generally, the relationship between litigation and negotiation of these claims is understood as one where the Supreme Court of Canada initially prodded the Canadian state to action, and then in a series of decisions developed the legal parameters within which the political realities of negotiation occur. Thus, settlement tends to follow and be shaped by the contours of the legal doctrine. However, settlement of land claims in Canada’s Arctic moved ahead of the case law in two key areas, as manifested in: (a) the negotiation of claims based on attenuated physical occupation of the lands in question; and (b) the application to waters and ice of principles developed in relation to terrestrial land. I argue below that this willingness to move beyond the precedents reflects both pragmatism and an instrumentalist approach to land claims in the Arctic.
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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 | 0.015 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.049 | 0.058 |
| Scholarly communication | 0.021 | 0.003 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".