Drawing Boundaries in the Beaufort Sea: Different Visions/Different Needs
Bibliographic record
Abstract
The Arctic is in the process of massive transformation. From a changing environment due to the impacts of climate change; to new economic opportunities and development; to new environmental pressures; and to new geopolitical realties. Within this transformation are changing borders. This article examines how borders are being altered in the Beaufort Sea. It focuses on three distinct types of borders—state borders; land claim borders and ecosystem. While state borders—based on the Westphalian state principles remain the dominate form of borders, they are being transformed through their extension into the maritime domain. However, at the same time, there is also a growing importance and strength of new borders being created in the Beaufort Sea by Land Claims agreement and new environmental concerns. This analysis will examine how these border transformations are occurring and interacting in the Beaufort Sea.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.028 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".