"Liberat[ing] Mankind from such an Odious Scourge": The Genocide Convention and the Continued Failure to Prevent or Halt Genocide in the Twenty-First Century
Bibliographic record
Abstract
Since it came into force in 1951, the United Nations’ Convention on the Prevention and Punishment of the Crime of Genocide, a document created with the explicit purpose of "liberat[ing] mankind from such an odious scourge," has largely failed to deliver on the promises it enshrined. The twentieth century bore witness to an increasing frequency of genocides, a pattern which is continuing into the twenty-first century with the outbreak of arguably genocidal violence in Darfur in 2003, and more recently, the Central African Republic (CAR) in 2014. This article analyses the failure of the Genocide Convention by exploring its deficiencies alongside issues of state sovereignty and levels of political interest, and particularly, the relationship between these issues, in the context of the specific cases of Cambodia, Rwanda, and Darfur. Understanding the lessons of these past failures is crucial as the UN attempts to address genocidal violence in the CAR today.
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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 | 0.004 | 0.005 |
| 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 | 0.049 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".