Bibliographic record
Abstract
Abstract This chapter suggests the need to rethink, on both doctrinal and political grounds, the distinction between core and transnational criminal law with a view to recovering a sense of the discipline of international criminal law’s lost unity. It identifies a tendency towards fragmentation and rarefication that has led both core crimes and the operation of international criminal tribunals to monopolize attention and increasingly be identified with ‘international criminal law’ (ICL). This chapter argues that, in addition to having a weak doctrinal basis, that distinction is theoretically and criminologically dubious. It suggests that the time may have come to recover at least a unified research agenda when it comes to ICL—one that rediscovers the extent to which supranational and transnational criminal law are at the very least joined at the hip. This involves better conceptualizing how the defining phenomenon of ICL is not only the criminalization of certain international law prohibitions, but also the ascendancy of certain ideas about crime control globally, as well as the degree to which both core crimes and transnational crimes rely on a common criminal corpus and conceptual baggage. The chapter ends with a call for renewed engagement with a sort of meta-theory of ICL, one that would make more sense of the relations between its diverse constituent parts.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.021 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.005 |
| 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".