Child rights jurisprudence without borders: developments in extraterritorial jurisdiction
Bibliographic record
Abstract
This article elaborates on the development of a global child rights jurisprudence emerging from the United Nations Committee on the Rights of the Child (the CRC Committee), drawing from other treaty bodies and supranational bodies.It also considers whether the CRC Committee is 'pushing the boundaries' of international law on extraterritorial jurisdiction in its recent decisions, one of which concerns the repatriation of the children of foreign fighters in the camps in North East Syria, and the other relates to transboundary harms caused by climate change.The article concludes that these two decisions show evidence of a jurisprudence that crosses the boundaries of different bodies and courts, and which has extended the concept of extraterritorial jurisdiction.
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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 | 0.018 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.069 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.008 | 0.014 |
| 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".