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Record W2593076633 · doi:10.1017/s0021911816001625

The Lingering Effects of Thought Reform: The Khmer Rouge S-21 Prison Personnel

2017· article· en· W2593076633 on OpenAlexfundno aff
Angeliki Andrea Kanavou, Kosal Path

Bibliographic record

VenueThe Journal of Asian Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsnot available
FundersUniversity of California, IrvineEnvironment and Climate Change CanadaUniversity of Southern California
KeywordsPrisonObedienceTortureGenocideCriminologyEmpathyMindsetPsychologyPolitical scienceLawSociologySocial psychologyHuman rights

Abstract

fetched live from OpenAlex

During the Cambodian Genocide (1975–79), about 12,272 to 20,000 people were jailed in the infamous Tuol Sleng (S-21) prison. Only a handful survived. This study focuses on how former S21 perpetrators relate today to their role in the genocide. Through a vast network of fear and torture, the Khmer Rouge instituted a program of “thought reform” in order to accomplish total obedience. Based on court testimonies, archival material, and semi-structured interviews with surviving S-21 guards and interrogators, this study shows how the former S-21 personnel manifest a lingering obedience orientation toward authority, limited reflection about the past, and little empathy toward their victims. The study demonstrates the long-lasting implications of the mindset that was established by the Khmer Rouge. More needs to be done to face the past and to “remove the guards from their prisons” in Cambodia.

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)0.007
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0220.040
Scholarly communication0.0080.004
Open science0.0010.007
Research integrity0.0020.005
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 head0.036
GPT teacher head0.339
Teacher spread0.303 · 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 designQualitative
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

Citations8
Published2017
Admission routes1
Has abstractyes

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