Redrawing the Line? Serious Crimes of Concern to the International Community beyond the<i>Rome Statute</i>
Bibliographic record
Abstract
Abstract International criminal law, like all areas of law, must continue to evolve to reflect contemporary realities. This article demonstrates that the current subject matter jurisdiction of the International Criminal Court under theRome Statuteis very much an artefact of history, and it argues that the historical and reactive line that the statute draws between “core” international crimes and other serious international or transnational crimes is inadequate. In order to ensure that international criminal law continues to evolve in a reasoned and principled manner, states need to better articulate the criteria by which conduct is included within the category of “the most serious crimes of concern to the international community as a whole.” Using a primarily inductive approach, the article considers a number of such criteria that have been considered over the years. It concludes that, when assessed in the context of their systematic and organized perpetration, many other serious international and transnational crimes raise some of the same concerns that underpin the current core international crimes, suggesting that it may be time for the international community to consider redrawing the line.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".