Recognition of Gendered Experiences of Harm at the Extraordinary Chambers in the Courts of Cambodia: The Promise and the Pitfalls
Bibliographic record
Abstract
Forty years after the beginning of the Khmer Rouge regime, the recent Trial Chamber judgment in case 002/01 before Extraordinary Chambers in the Courts of Cambodia (ECCC) has provided legal recognition of the devastating violence of the forced population movements. However, despite the undoubted significance of the judgment, it represents a missed opportunity to more fully reflect issues of gender. The article argues that in order to capture the plurality of gendered experiences it is necessary to foreground a social understanding of harm. Drawing on civil party oral testimony, the article begins to surface gendered experiences of the social harms of familial separation and starvation of family members, harms that have often remained silenced in international criminal law. In doing so it seeks to contribute to emerging feminist discourse on broader gendered harms and illustrates the need for further scrutiny of the approach of the ECCC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".