Precarious Finality? Reflections on <i>Res Judicata</i> and the <i>Question of the Delimitation of the Continental Shelf</i> Case
Bibliographic record
Abstract
Abstract This article considers the approach to the res judicata principle taken by the International Court of Justice (ICJ or the Court) and, specifically, its application in its 2016 judgment on preliminary objections in the latest dispute between Nicaragua and Colombia. The judgment joins the small number of ICJ decisions in which the Court was evenly split, an altogether rare situation, which, at the time of the decision, had not occurred since the Nuclear Weapons Advisory Opinion. Intriguingly, such a fracture seems to have been prompted by differences over the operation of a procedural principle the understanding of which is comparatively uncontroversial. Upon closer analysis, however, the disagreement reveals that more significant questions were at stake, with members of the minority issuing a vocal joint dissent and several individual declarations. This study will move in three parts: first, it will provide an overview of the nature and purpose of the principle of res judicata , its application in international adjudication, and its use by the ICJ; second, it will analyze the Court's reading of the principle in the case at issue; third, it will expose the broader implications of one such approach for the role and authority of the World Court and the international judiciary.
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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 | 0.021 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.051 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.010 | 0.013 |
| 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".