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Record W2345985350 · doi:10.1093/irap/lcv018

North Korea in South Korea–Japan relations as a source of mutual security anxiety among democratic societies

2015· article· en· W2345985350 on OpenAlexaff
Seung Hyok Lee

Bibliographic record

VenueInternational Relations of the Asia-Pacific · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicKorean Peninsula Historical and Political Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsDemocracyNational securityPolitical scienceAnxietyPublicsPolitical economyDevelopment economicsPerceptionSociologyPsychologyEconomicsLawPolitics

Abstract

fetched live from OpenAlex

When Kim Dae-jung and Koizumi Junichiro visited Pyongyang in 2000 and 2002, their visits facilitated a perception shift toward North Korea in South Korea and Japan. This was a consequence of the two democratic societies expanding and redefining the acceptable boundaries of their national security identities and principles in a changing regional environment. Although the expansion of societal security discourse did not lead extreme ‘revisionists’ to implement drastic strategic policy transformations in either country, it did provoke a ‘mutual security anxiety’ between the South Korean and Japanese publics, as they felt increasingly uncertain about each other's future security trajectory. This mutual anxiety, in which both countries tend to view each other as potential security risk, while overlooking the existence of moderate democratic citizens on the other side, continues to provide a powerful ideational undertone to the bilateral relationship, which contributes to persistent misunderstanding at various levels.

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)0.003
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.007
Scholarly communication0.0060.004
Open science0.0000.007
Research integrity0.0010.003
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 head0.019
GPT teacher head0.264
Teacher spread0.245 · 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
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
Published2015
Admission routes1
Has abstractyes

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