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Record W2492712580 · doi:10.1007/978-0-230-30522-9_2

The Historical Origin of the East Asian Political Economy, 1895–1945

2008· book-chapter· en· W2492712580 on OpenAlexaff
Kevin G. Cai

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2008
Typebook-chapter
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEmpireColonialismEast AsiaEconomyPoliticsState (computer science)Economic powerChinaFar EastPolitical scienceGeographyDevelopment economicsEconomic historyHistoryAncient historyEconomicsArchaeology

Abstract

fetched live from OpenAlex

The modern political economy of East Asia can be traced back to the rise of the Japanese imperialist power in the late 19th century and its subsequent building of a Japanese empire in the Far East. In the course of imperialist expansion, Japan annexed Taiwan and Korea and pursued a colonial policy that was designed to incorporate and assimilate these two colonies into the Japanese empire. This colonial policy of Japan not only substantially transformed the economy of Taiwan and Korea but also helped create a regional economic relationship that subordinated Taiwan and Korea to Japan through a pattern of vertical regional economic integration in East Asia with implications going far beyond the Japanese colonial era. In the meantime, the developmental state structure that was planted by the Japanese in their two colonies was in many ways inherited by the postcolonial South Korean and Taiwanese states, which substantially influenced the economic development of South Korea and Taiwan in the postwar years. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.005
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.028
GPT teacher head0.243
Teacher spread0.215 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2008
Admission routes1
Has abstractyes

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