Changing the Arctic Paradigm from Cold War to Cooperation: How Canada’s Indigenous Leaders Shaped the Arctic Council
Bibliographic record
Abstract
Abstract Between 1987 and 1997, through an impressive coalition of Nordic governments, the Government of Canada, scientists, environmentalists, foundations and Indigenous groups, the world witnessed the creation of a new body, the Arctic Council, a breakthrough in co-operative Arctic governance. Impressive for the relative speed of its creation, the Council – made up of eight states, six Permanent Participants and several observers – has continued to evolve at a steady pace, and recently became the primary forum for negotiating an Arctic search and rescue treaty. Many contributed to the creation of the Arctic Council, but insofar as a Canadian contribution, one of the leading drivers of the effort was a skilled group of Indigenous leaders. Aboriginal leaders like Mary Simon, supported by foundations, became the advocates of an Arctic Council that gave unprecedented status to Indigenous representatives to sit at the same table as foreign ministers through the innovation of a Permanent Participant category. This victory for the Indigenous community in the creation of the Arctic Council was an early indication of the growing presence and sophistication of the world’s Indigenous populations. Their current importance, as highlighted by the U.N. Declaration of Rights of Indigenous Peoples in 2007, has as a precedent the invention of the Permanent Participant membership category of the Arctic Council a decade earlier.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.070 | 0.027 |
| Scholarly communication | 0.020 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 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".