Terra Incognita: What Happens When a Problem of State Succession Occurs during Arbitration Proceedings?
Bibliographic record
Abstract
Abstract This article examines the question of State succession to bilateral investment treaties ( BIT s) in the unique context whereby the events leading to this change in sovereignty happen during an arbitration proceeding. I will assess the impact this will have on the respondent State in the proceedings which may cease to exist (dissolution, unification, and integration) or lose part of its territory (cession, secession). Succession may also affect the home State of the claimant investor and result in that person losing its nationality and acquiring a new one. An arbitral tribunal should continue to have jurisdiction over a dispute whenever a claimant involuntarily changes its nationality in such context. While the same conclusion should apply when changes affect the respondent State, major difficulties will arise if that State ceases to exist and no other State is willing to participate in the proceedings. I will examine the limits of tribunals’ powers in this respect.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".