An Unfulfilled Promise: The Genocide Convention and the Obligation of Prevention
Bibliographic record
Abstract
This article addresses the under-theorized dual-mandate of the United Nations Convention on the Prevention and Punishment of the Crime of Genocide. The Convention was drafted in the wake of the Holocaust and other Nazi genocidal atrocities committed during World War II. The primary mission of the Genocide Convention was to establish a uniform definition of this scourge, and insert its prevention and punishment into the list of obligations states hold within the current international legal regime. Based on the past 70 years, it is clear that the international community has overwhelmingly failed to uphold the Genocide Convention’s prevention mandate. The Convention and its signatories have been more successful in punishing perpetrators posthaste (e.g., the 1940s Nuremburg and Tokyo trials; the 1990s tribunals in the former Yugoslavia and Rwanda; and the International Criminal Court). Eyeing the failure of the international community in Rwanda and the former Yugoslavia, the Canadian government created the International Commission on Intervention and State Sovereignty that created the doctrine of the “Responsibility to Protect” (R2P). The article argues that R2P has filled part of the gaps in the Genocide Convention and allowed states to take affirmative actions to prevent genocide in the modern era (e.g., Libya 2011).
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.054 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.010 | 0.016 |
| 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".