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Record W4296472170 · doi:10.1093/ahr/rhac152

Base Money

2022· article· en· W4296472170 on OpenAlexaff
Jeong‐Min Kim

Bibliographic record

VenueThe American Historical Review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMonetizationBlack marketCurrencyPaymentSpanish Civil WarCirculation (fluid dynamics)CommodityCustomer base

Abstract

fetched live from OpenAlex

Abstract This article discusses how US military payment certificates (MPC) escaped from US military bases during the Korean War to become common currency in local economies. The MPC program was intended to control the mixing of US currency in local economies, yet the worldwide use of MPC on all overseas US bases between 1946 and 1973 facilitated black market circulation of military notes globally by allowing trading differentials among dollars, MPC, and local currencies. As soldiers, goods, and money moved through the US base network across Korea and Japan during the war, MPC were commonly used as a medium of exchange for sexual transactions between US soldiers and local women in both countries. The cross-border sexual markets were central to the everyday economies of Korea and Japan, of which black markets trading US Army supplies and currencies were major components. An analysis of this off-base monetization process of MPC offers a new perspective on the global history of war and occupation by highlighting how the sexual economy of illicit and informal transactions has been integral to US military expansion abroad since the end of World War II.

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.491
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.301
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2022
Admission routes1
Has abstractyes

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