Reading Faust into International Criminal Law’s Metaphorical References to the Devil
Bibliographic record
Abstract
Metaphorical references to the devil in international criminal justice are various, varied and tap into a rich vein of allusion, association and meaning. These range from simple references to evil to more complex referencing to Faustian pacts of one form or the other, to the downright esoteric encompassing the arcane origins of the immunity erstwhile afforded to official acts. Kenyan President Uhuru Kenyatta’s statement ‘That devil shall be defeated’ as well as Canadian General Romeo Dallaire’s ‘Shake Hands with the Devil’ are two examples respectively resisting and promoting international individual criminal liability. That Carl Schmitt was asked by his interrogator at Nuremberg ‘when did you renounce the devil?’ and that defence counsel at the International Criminal court in the Kenyan Situation analogised the Kenyan government as being accused of entering into ‘a deal with the devil’, to the judge at Rudolf Kastner’s case in Israel related to Nazi-era crimes described him as having ‘sold his soul to the devil’; cut across perpetrators and victims and speak of knowing and willing compacts with evil in order to, allegedly, produce good. Which is to say that are all political theodicies explaining away evil by linking it in some causal way to good.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".