Reapprasing the Approach of International Law to Civil Wars: Aid to Legitimate Governments or Insurgents and Conflict Minimization
Bibliographic record
Abstract
Abstract Since the Second World War, there has been a constant decrease of inter-state conflicts. In sharp contrast, the level of intra-state violence has not declined and has even reached unprecedented peaks. This points to a striking discrepancy between the rejection of violence at the inter-state level and the wide leeway that is still afforded to the use of violence at the intra-state level and to external interferences fueling it. This article takes stock of the main features (and serious flaws) of the existing legal framework on aid to governments or insurgents in internal conflict situations. On the basis of a combined legal and conflict-management analysis, the author proposes a radically different approach and formulates a number of legal and policy recommendations on how to tackle the complex phenomenon of foreign intervention in civil wars, where enormous human, economic, and social implications are at stake.
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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 | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.008 | 0.080 |
| Scholarly communication | 0.019 | 0.009 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 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".