AGGRESSION AS “ORGANIZED HYPOCRISY?” – HOW THE WAR ON TERRORISM AND HYBRID THREATS CHALLENGE THE NUREMBERG LEGACY
Bibliographic record
Abstract
Modern threats to international peace and security from so called “Hybrid Threats”, multimodal threats such as cyber war, low intensity asymmetric conflict scenarios, global terrorism etc. which involve a diverse and broad community of affected stakeholders involving both regional and international organisations/structures, also pose further questions for the existing legacy of Nuremberg. The (perhaps unsettling) question arises of whether our present concept of “war and peace”, with its legal pillars of the United Nations Charter’s Articles 2(4), 51, and the notion of the criminality of waging aggressive war based on the “legacy” of Nuremberg has now become outdated to respond to new threats arising in the 21st century. This article also serves to warn that one should not use the definition of aggression, adopted at the ICC Review Conference in Kampala in 2010, to repeat the most fundamental flaw of Nuremberg: ex post facto criminalisation of the (unlawful) use of force. A proper understanding of the “legacy of Nuremberg” and a cautious reading of the text of the ICC definition of aggression provide some markers for purposes of the debate on the impact of new threats to peace and security and the use of force in international law and politics.
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 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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".