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Democratization in South Korea and Inter-Korean Relations

2003· article· en· W2337282784 on OpenAlexvenueno aff
Chien-peng Chung

Bibliographic record

VenuePacific Affairs · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDemocratizationPolitical scienceDevelopment economicsEconomic systemPolitical economyDemocracyEconomicsPoliticsLaw

Abstract

fetched live from OpenAlex

This essay explores a salient topic that is often overlooked in studies on South Korea's policies toward North Korea: the profound effect on inter-Korean ties brought about by the evolution of South Korea from authoritarianism to democracy in the last 16 years. It also wishes to address the thesis of whether democratization causes war, using South Korea as a case study.\nMansfield and Snyder have argued that democratizing states tend to be belligerent, because both old and new elite often resort to nationalist / ideological appeals to mobilize mass allies to defend their threatened positions and stake out new ones, and then found that the masses, once mobilized, are difficult to control. This essay submits that, whether a democratizing state wants to court conflict with another state depends very much on what these nationalist / ideological positions are. The external policies of a democratizing state will become more cooperative, if the elite promote the pacific preferences of newly empowered constituencies. In post-authoritarian South Korea, this linkage has favoured policies that reduce, rather than exacerbate, external tension.\nAlthough there have been ups and downs in inter-Korean relations since democratization in South Korea, on the whole, relations between the two Koreas have improved. Participation by intellectual, student, labour, clerical and other "leftist. " forces in the political process of South Korea has legitimized hitherto suppressed or muted calls for better relations with the North. It has even led to a change in the security thinking of the government in Seoul, from equating state security with regime security, to identifying it with the security of all Koreans.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.014
GPT teacher head0.252
Teacher spread0.238 · 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

Citations32
Published2003
Admission routes1
Has abstractyes

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