The Problem with the Crime of Forced Migration as a Loophole to icc Jurisdiction
Bibliographic record
Abstract
Abstract In November 2019, the icc’s Pre-Trial Chamber authorized the Prosecutor to proceed with an investigation based on a previous decision that the Court may exercise jurisdiction over the alleged deportation of Rohingya from Myanmar to Bangladesh. While the crime of deportation occurred in Myanmar, which is not a State party to the icc and therefore not within the jurisdiction of the Court without unsc referral, the deportation ended in Bangladesh, which is a State party. Once the Court determined that the State that receives the forcibly displaced can confer jurisdiction, the ground seemed to shift drastically in regards to the possible jurisdictional reach of the icc. This paper explores how this Pre-Trial Chamber decision, reasonably read as extending the Court’s geographic jurisdiction beyond what was intended by the drafters of the Rome Statute, could have negative implications, particularly how this extension could further threaten some of the world’s most vulnerable.
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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 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.024 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".