Justice After Genocide: Impunity and the Extraordinary Chambers in the Courts of Cambodia
Bibliographic record
Abstract
After nearly 40 years, some of the key leaders of the former Khmer Rouge genocidal regime are facing trial at the Extraordinary Chambers in the Courts of Cambodia (ECCC). This paper explores the challenges and opportunities facing the ECCC in its pursuit of justice and accountability for the atrocities committed by the Khmer Rouge against the Cambodian people. It concludes that, despite the political controversies and resource constraints affecting the court in fulfilling its mandate to end impunity, victims and survivors of the Pol Pot era may still benefit psychologically from the long-overdue official acknowledgement of their suffering and the opportunity for younger generations to learn the truth of what happened. Some justice could indeed be better than none in the quest for healing and reconciliation at the individual and community level. This process may be undermined, however, if the prevailing culture of “small impunities” and the need for political and socioeconomic justice, along with psychosocial support, are not addressed.
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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 | 0.002 | 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 | 0.016 | 0.019 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".