Slouching Towards New ‘Just’ Wars: The Hegemon after September 11th
Bibliographic record
Abstract
Twentieth-century international law was in large part a struggle to reduce the evil of war by codifying a restrictive doctrine of ‘just war’. The US Administration under George W. Bush has made concerted efforts to resurrect an expansive doctrine of just war: one rooted in broad moral, rather than restrictive legal, assessments of threats and punishments. Existing rules ask us to pause and inquire whether war is necessary and just. The debate over Iraq laid bare failings in these rules, requiring action. Yet the need to limit resort to war is as great as ever. Legal rules cannot prevent the use of force; nor can they prevent violations that states perceive to be in their fundamental interests. Rather, international law provides a framework against which states’ actions are assessed, and imposes a heavy burden of justification. International law requires more specific, testable claims than can be offered by the rhetoric of evil.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.032 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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".