Procedural Justice in International Criminal Courts: Assessing Civil Parties’ Perceptions of Justice at the Extraordinary Chambers in the Courts of Cambodia
Bibliographic record
Abstract
Procedural justice advocates argue that fair procedures in decision making processes can increase participant satisfaction with legal institutions. Little critical work has been done however to explore the power of such claims in the context of mass violence and international criminal justice. This article critically examines some of the key claims of procedural justice by exploring the perceptions of justice held by victims participating as Civil Parties in the Extraordinary Chambers in the Courts of Cambodia ( eccc ). The eccc has created one of the most inclusive and extensive victim participation regimes within international criminal law. It therefore provides a unique case study to examine some of claims of ‘victim-centred’ transitional justice through a procedural justice lens. It finds that while procedural justice influenced civil parties’ overall perceptions of the Court, outcomes remained of primary importance. It concludes by analysing the possible reasons for this prioritisation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".