Africa and the International Criminal Court: (Re)constructing the Narrative
Bibliographic record
Abstract
Abstract African support for the International Criminal Court ( icc ) from its earliest stages of institutional development is often referenced in the international criminal justice literature with limited explanation. The aim of this article is to establish a holistic account of African support for an international criminal court in the pre-Rome period, during the Rome Diplomatic Conference, and after the establishment of the icc . This analysis uses rational choice and constructivist international relations ( ir ) theory to help explain levels of African commitment to the Rome Statute using Kenya and Ivory Coast as case studies. While the icc has been criticized on neocolonial bases, it is important to reconstruct the narrative to more accurately reflect African agency over the international criminal justice project, and the icc in particular. African resistance to the institutional behaviour of the icc is situated in its broader political context(s): domestically and internationally, using rational and normative factors to explain various levels of African commitment to the Rome Statute.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".