Developments in Maritime Delimitation Law over the Last Decade: Emerging Principles in Modern Case Law
Bibliographic record
Abstract
Abstract The delimitation of maritime boundaries is a complex and multifaceted process with legal and technical aspects. The process involves the determination of a maritime boundary in a situation where two or more states are confronted with overlapping titles. In the absence of any precise rules in treaty law and established customary rules based on state practice, it has been left to the jurisprudence of international courts and tribunals to develop the applicable law of maritime boundary delimitation. This article provides a detailed examination of the complex and multifaceted processes involved in maritime delimitation law. In doing so, it highlights recent developments in the field, with an emphasis on the emerging principles of “non-cut-off” and “non-distortion.” The article also analyzes the crystalizing rules on delimitation beyond 200 nautical miles and questions the applicability of these rules to the ongoing maritime boundary dispute between Canada and the United States 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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.003 | 0.039 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".