Forensic Legacy of the Khmer Rouge: The Cambodian Genocide
Bibliographic record
Abstract
The people of Cambodia were subjected to widespread forced migration and labor, disease, starvation, torture, murder, and indeed, genocide over a period of four years during the control of the country by Pol Pot and the Khmer Rouge in the 1970s. While the country awaits some form of justice from the hybrid tribunal hearing cases against a few of the perpetrators of these crimes, it has undertaken to memorialize the dead in visible monuments in order that the people remember and never allow it to happen again. This paper outlines the few forensic investigations which have been undertaken on the remains of the deceased from this period in Cambodia's history. The current status of the legal proceedings and the current death investigation system in Cambodia are also presented. There is a wealth of objective forensic information that can be gathered from analyzing the remains that have been disturbed and placed in monuments (stupas), and also in the undisturbed graves across the country. This information cannot only assist in any legal proceedings, but can aide in training medicolegal experts in Cambodia for the future good of the country and its rule of law.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".