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Record W2756583490 · doi:10.1163/18765610-02402011

“Pusan at War: Refuge, Relief, and Resettlement in the Temporary Capital, 1950–1953”

2017· article· en· W2756583490 on OpenAlexaff
Janice C. H. Kim

Bibliographic record

VenueJournal of American-East Asian Relations · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsEliteRefugeeMilitarizationAgency (philosophy)Political sciencePopulationRelocationWorld War IISpanish Civil WarPoliticsCapital (architecture)Internally displaced personEconomic growthDevelopment economicsSociologyLawHistoryDemographyAncient historyEconomics

Abstract

fetched live from OpenAlex

This article examines the changes that the Korean War and influx of evacuees brought about in the temporary wartime capital at Pusan. It describes the two waves of in-migration into the city—the first following the outbreak of war on 25 June 1950 and the second after the Chinese People’s Volunteer Force occupied Seoul on 4 January 1951. While the first round of conflict brought some 200,000 evacuees to Pusan, mostly relatives of political and military families and the Seoul elite, the second ushered in an overwhelming half million displaced people, including over 100,000 refugees from North Korea. The rapid influx of a transient population exhausted public services and resources that the war already had diminished. The simultaneous development of a u.s. military complex in southeast Korea gave rise to rampant illegal trade and prostitution. Although schemes to continue wartime education testifies to the agency of evacuees to enact continuity in liminal spaces, only the elite could go to school without interruption in a devastated, aid-dependent, hyperinflationary economy. This article evaluates some characteristics of wartime Pusan—with privatized continuation of educational and religious institutions on one hand, and dependence on u.s. aid and military along with widespread prostitution and illegal trade on the other—to help explain why they remained salient features of the South Korean developmental state long after the armistice.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
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 communication0.0000.001
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 head0.019
GPT teacher head0.303
Teacher spread0.283 · 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
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

Citations2
Published2017
Admission routes1
Has abstractyes

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