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Record W2888748927 · doi:10.1111/pafo.12117

Is South Korea Leaning Toward China? Questioning the Contemporary Application of the Japanese Narrative About the Historical Korean Peninsula–China Linkage

2018· article· en· W2888748927 on OpenAlexaff
Seung Hyok Lee, Wooyeal Paik

Bibliographic record

VenuePacific Focus · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicKorean Peninsula Historical and Political Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChinaPeninsulaNarrativeEast AsiaPoliticsForeign policyPolitical scienceHistoryEconomyGeographyLawEconomics

Abstract

fetched live from OpenAlex

The Japanese often frame the history of East Asia in a “Japan versus China” dichotomy, and they have long embraced a “national narrative” that emphasizes the linkage between the Korean Peninsula and China in the traditional Confucian worldview. The narrative asserts that the peninsula has been culturally and geopolitically “attached” to China, and it has served as an important ideational backdrop to Japan's positioning in the changing regional security environment. In this article, we analyze the origin and contents of the Japanese national narrative, and examine how it has influenced both the Japanese view of the peninsula and policy‐making. We focus on how it has reemerged in the post‐Cold War and the rising China era, and how it has been particularly applied to frame current South Korea–China relations. We then turn to analyze whether contemporary South Korean policies toward China offer evidence in support of the narrative. We conclude that the Japanese concern that South Korea could eventually “get pulled into China's orbit” is a highly unlikely scenario, and that the Japanese narrative exhibits a time lag in incorporating contemporary factors into its historically generated storyline. South Korea's understanding of regional politics is intrinsically different from that of the pre‐modern periods, and its relations with China are more complex than this particular Japanese narrative would suggest. Its interactions with China are guided by contemporary economic, political, and sociocultural considerations about the national interest, and the reality of the divided peninsula in the post‐Cold War period.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.847
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.033
GPT teacher head0.283
Teacher spread0.250 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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