Bibliographic record
Abstract
Akenroye and Clarke discuss the difficulties of fitting the moral ambiguities of violent conflict into the neat victim/perpetrator binaries of international criminal law. At center stage in this chapter is a discussion of the trial of Dominic Ongwen in the International Criminal Court in The Hague. The trial centered on the culpability of a man whose horrific acts of violence in the Ugandan civil war of the early 2000s led the ICC to issue 70 counts of war crimes and crimes against humanity against him. The ambiguities of the case and the reference point of the trial's arguments center on Ongwen's recruitment as a child soldier under the notorious Lord's Resistance Army headman, Joseph Kony. At what point does a child's transition into adulthood change the conditions of their responsibility for crime? At what point is a child soldier expected to repudiate his or her superiors and escape the scene of atrocity? And if repudiation and escape are called for in this and other cases of this kind, how might this example extend to other forms of aberrant socialization, the "brainwashing," for example, that can lead an entire nation to accept and act on ideas of the inhumanity and need to eliminate a national minority?
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".