MétaCan
Menu
Back to cohort
Record W2144255189 · doi:10.1068/a130025p

The <i>Chaebol</i> and the US Military—Industrial Complex: Cold War Geopolitical Economy and South Korean Industrialization

2014· article· en· W2144255189 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Industrial and Economic Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChaebolGeopoliticsIndustrialisationDevelopmental stateCold warState (computer science)Political scienceEconomyEast AsiaMilitarizationPolitical economySociologyEconomicsChinaPoliticsManagementCorporate governanceLaw

Abstract

fetched live from OpenAlex

Among scholars of East Asia, the role of US military offshore procurement (OSP) and the military–industrial complex (MIC) has been underplayed in explanations of rapid industrial transformation. Yet the foundations of industrialization in places such as South Korea, when analyzed in strongly ‘national–territorial’ and state-centric terms of the predominant, so-called ‘neo-Weberian’ accounts, remain inadequately illuminated. We argue that a geopolitical economy approach focusing on the roles of OSP and relations within the US MIC brings to light crucial sociospatial dimensions of the Korean developmental state's industrial success during the Vietnam War era, dimensions that are largely absent from the neo-Weberian accounts. We examine, in particular, the Park Chung Hee regime's participation in the Vietnam War, and the attendant development of Korean industrial chaebol such as Hyundai, arguing that the successes of the south Korean developmental state and chaebol were enabled by their enrolment in the US MIC, via OSP.

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.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.027
GPT teacher head0.212
Teacher spread0.186 · 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