Non-Refoulement and Extraterritorial Jurisdiction: State Sovereignty and Migration Controls at Sea in the European Context
Bibliographic record
Abstract
Abstract The principle ofnon-refoulementfound in the UN Convention on the Status of Refugees has been widely regarded as the core element of the international refugee protection regime. However, in the recent era of restrictive external migration controls, its significance and ambit diminished to the extent that states began to regard it as a general moral principle that imposed only narrowly defined legal constraints. In particular, interception or interdiction of refugees on the high seas came to be regarded as activities falling outside the legal ambit of thenon-refoulementobligation. However, in Europe, this has begun to change. Thenon-refoulementobligation found in Article 3 of the European Convention on Human Rights (ECHR) has been recognized as a legal constraint on state sovereignty in relation to migration controls on the high seas. This article scrutinizes how the developing concept of jurisdiction in human rights law, particularly as found in the ECHR, has expanded the scope of application of the principle ofnon-refoulement, and presents some important implications. The concept of state sovereignty has begun to undergo a paradigm shift that places extraterritorial human rights concerns relating to external migration controls squarely within a legal rather than merely a moral framework.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.032 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".