'The Dark Corners of the World': TWAIL and International Criminal Justice
Bibliographic record
Abstract
Despite international criminal law’s historically contingent doctrines and embedded biases,Third World self-determination movements continue to be enticed by international criminal justice as a potentially emancipatory project. This article seeks to peer inside the structural anatomy of the international criminal law enterprise from a vantage point oriented to the global South. It reflects broadly on discourses of international criminal law and its exponents as they relate to the global South, and explores one particularly contentious issue in the politics of international criminal law - that of operational selectivity. Redressing such selectivities as they arise from geopolitical biases is an important first step for any reconstruction of the field of international criminal justice. The article emphasizes, however, the need to also look beyond the problems of unequal enforcement, to reconceptualize the forms of violence criminalized at the design level.We ask whether, given certain colonial features, the premise and promise of international criminal justice can - for self-determination struggles or anti-imperial movements in the global South - be anything more than illusory. Drawing on the perspectives of Third World Approaches to International Law (TWAIL), the article concludes with some thoughts on what ‘TWAILing’ the field of international criminal justice might entail.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.052 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".