The Evolution of International Criminal Law: Prosecuting 'New' Crimes before the Special Court for Sierra Leone
Bibliographic record
Abstract
Abstract The Special Court for Sierra Leone has been noted for becoming the first international court to convict accused of the crimes of sexual slavery, the use of child soldiers, 'forced marriage', and intentionally directing attacks against peacekeepers. This article analyzes how prosecutions of some of these supposedly 'new' crimes were found not to be in violation of the principle of legality, nullum crimen sine lege. In particular, this article will focus on the crimes of 'forced marriage', intentionally directing attacks against peacekeepers, and sexual slavery: the judgments in the RUF case (Prosecutor v. Sesay, Kallon and Gbao) and the AFRC case (Prosecutor v. Brima, Kamara and Kanu) together reveal two different processes through which the law has proven able to evolve and adapt to accommodate so-called 'new' crimes without violating the principle of legality.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".