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Record W2038949196 · doi:10.5038/1911-9933.8.2.3

Justice and Time at the Khmer Rouge Tribunal: In Memory of Vann Nath, Painter and S-21 Survivor

2014· article· en· W2038949196 on OpenAlexvenueno aff
Alexander Laban Hinton

Bibliographic record

VenueGenocide Studies and Prevention · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsTribunalEconomic JusticeTransitional justicePopulationSociologyLawPolitical scienceGender studiesDemography

Abstract

fetched live from OpenAlex

This essay explores the interrelationship of justice and time at the Extraordinary Chambers in the Courts of Cambodia [ECCC hyperlink: http://www.eccc.gov.kh/en] (ECCC, or “Khmer Rouge Tribunal”). In doing so, it follows the trial participation of the late Vann Nath, a survivor of S-21, a torture and detention center operated by the Khmer Rouge. From April 15, 1975 to January 6, 1979, this Maoist-inspired group of revolutionary implemented policies resulting in the death of up to two million of Cambodia’s eight million inhabitants, almost a quarter of the population. This essay argue that, even as they seek to help post-conflict societies like Cambodia “move forward through justice” (as the ECCC slogan goes), transitional justice mechanisms like the ECCC are premised on a set of temporal assumptions that are part of a larger transitional justice imaginary. Scholars and practitioners need to attend to such assumptions as well as the sorts of “vernacular time,” or local conceptions of temporality that also mediate the understanding and responses of people like Vann Nath.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.073
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.023
Scholarly communication0.0080.009
Open science0.0010.003
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.317
Teacher spread0.284 · 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 source (direct Gemma or distilled Codex), 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

Citations14
Published2014
Admission routes1
Has abstractyes

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