Arctic National Wildlife Refuge Oil: Canadian and Gwich'in Indian Legal Responses to 1002 Area Development
Bibliographic record
Abstract
The Arctic National Wildlife Refuge in Alaska contains an area commonly referred to as the 1002 area. This area contains millions barrels of oil but is currently protected from oil development by Congress. Many groups support opening the 1002 area for development, including the state of Alaska and the Bush administration. Those opposing any potential oil development include the Canadian government and the Gwich'in Indians. Were Congress to open the 1002 area for development, Canada and the Gwich'in would probably take legal action to prevent potential harms associated with the drilling. Both Canada and the Gwich 'in are concerned primarily with the negative effects oil development could have on the Porcupine Caribou herd, which the Gwich'in subsist on. Canada's legal responses could include a suit against any oil companies and/or the United States government for direct environmental harm occurring in Canada as a result of the drilling. This suit could be brought using the Trial Smelter arbitration as precedent. Canada's second suit could be against the United States for damages stemming from America's violation of an existing bilateral treaty by permitting drilling. The Gwich'in could sue the oil companies under traditional environmental tort law for any environmental damages to the 1002 area and the Porcupine Caribou herd that result from the drilling. The Gwich 'in could also negotiate or arbitrate with the United States government regarding environmental damages under the Trail Smelter precedent, but only if the Gwich'in are recognized as a sovereign nation.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.036 | 0.007 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.014 | 0.014 |
| Insufficient payload (model declined to judge) | 0.016 | 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".