Is the Quality of the ICC’s Legal Reasoning an Obstacle to Its Ability to Deter International Crimes?
Bibliographic record
Abstract
Abstract Given that the Rome Statute is only binding upon its member states, there is a certain element of judicial megalomania in the recurrent claim by the International Criminal Court (ICC) that it acts ‘on behalf of the international community as a whole’ in its endeavour to end impunity for international crimes. Focusing on recent ICC rulings concerning the nature and function of the Court, this article queries whether the quality of the Court’s legal reasoning may have an impact on its long-term deterrence potential. The article suggests that while making self-aggrandizing statements and stretching the boundaries of its legal mandate might, in principle, increase the short-term deterrent effect of the ICC, the Court risks sacrificing a greater good, i.e. its long-term status as a legitimate authority within the field international criminal law. Inconsistent rulings without a solid basis in sound legal analysis may indeed prove to be devastating for the ICC, which is still in the process of establishing itself as a credible institution that commands respect.
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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 | 0.030 | 0.129 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.026 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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".