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Record W3022605864 · doi:10.5038/1911-9933.14.1.1710

"Currency is a Most Poisonous Tool": State Capitalism, Nonmarket Socialism, and the Elimination of Money during the Cambodian Genocide

2020· article· en· W3022605864 on OpenAlexvenueno aff
James A. Tyner

Bibliographic record

VenueGenocide Studies and Prevention · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsnot available
FundersEmerald PublishingHarvard UniversityJohns Hopkins UniversityYale University
KeywordsCommunismGenocideNonmarket forcesCapitalismContext (archaeology)EconomicsSocialismCurrencyPolitical economyOrder (exchange)Market economyPolitical scienceLawFinanceMonetary economicsFactor marketPolitics

Abstract

fetched live from OpenAlex

Between 1975 and 1979, the Communist Party of Kampuchea sought to establish a non-monetary and non-market economy. In the process, however, upwards of 1.7 million men, women, and children perished. This paper provides a critical evaluation of the CPK’s decision to eliminate money in its attempt to transform Cambodia’s pre-revolutionary economy into a communist mode of production. First, I provide some general remarks on Marx, money, and markets; the purpose here is to establish a common foundation for readers, in order to properly assess Khmer Rouge monetary policies with those of orthodox reading of Marxism. Second, I position CPK macro-economic policies within the context of the Non-Aligned Movement and revolutionary socialism, as these movements greatly informed economic policies in Democratic Kampuchea. Third, I comment upon the decision of senior CPK personnel on the elimination of money. Lastly, I evaluate the contradictions of CPK macro-economic policies, specifically, the suspension of money and markets domestically but the need to participate in the global economy in order to accumulate rapidly much needed capital for investment purposes. These contradictions, I conclude, established the structural context of the subsequent Cambodian genocide and the resulting famine that resulted in a massive loss of life.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.999

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 studies0.0020.001
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 head0.025
GPT teacher head0.289
Teacher spread0.264 · 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.

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

Citations5
Published2020
Admission routes1
Has abstractyes

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