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Record W4245952687 · doi:10.5038/1911-9933.8.2.2

Introduction

2014· article· en· W4245952687 on OpenAlexfundvenueno aff
Kosal Path, Elena Lesley-Rozen

Bibliographic record

VenueGenocide Studies and Prevention · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsnot available
FundersEnvironment and Climate Change Canada
KeywordsPolitical sciencePsychology

Abstract

fetched live from OpenAlex

The quest to address the legacy of mass violence is a politically complex endeavor that does not necessarily foreground the needs or desires of victims. Indeed, victim claims may contradict the motives of those in power or become overshadowed by the drive to establish international legal norms and regimes of justice. The international push for a tribunal to hold accountable those responsible for the deaths of some 1.7 million Cambodians from 1975-79 did not begin until after the fall of the Soviet Union. Until that time, Cold War politics shielded the former Khmer Rouge from prosecution; indeed a reconfigured Khmer Rouge coalition claimed Cambodia's place at the United Nations even after the Vietnamese drove the brutal regime from power in 1979. Co-Prime Ministers Prince Norodom Ranariddh and Hun Sen wrote to the UN in 1997 requesting the creation of a tribunal -some claim to intimidate remaining Khmers Rouge into defecting to the current government -but changed his position soon afterward. Nonetheless, international pressure for a court continued and, after a series of lengthy negotiations, the Cambodian government and United Nations reached an agreement in 2003 to establish the Extraordinary Chambers in the Courts of Cambodia (ECCC), more commonly known as the Khmer Rouge Tribunal (KRT).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.323
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes2
Has abstractyes

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