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Record W1998737555 · doi:10.1177/0020715206065384

Korea’s Global City

2006· article· en· W1998737555 on OpenAlexvenueno aff
Kyoung-Ho Shin, Michael Timberlake

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Urban Networks and Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationGlobal cityEliteArgument (complex analysis)Urban hierarchyPolitical scienceWorld-systemHierarchyState (computer science)Social capitalPolitical economyPerspective (graphical)Polarization (electrochemistry)Economic geographySociologyEconomyDevelopment economicsEconomic systemGeographySocial scienceEconomicsLawPolitics

Abstract

fetched live from OpenAlex

Seoul, South Korea has risen remarkably in the global hierarchy of cities since the mid-1970s, and arguably it is now among an elite group of about 15 of the most globally central cities in the world. While it is increasingly the object of urban studies research, few efforts have specifically focused on linking social structural changes within the city to its increasingly intense participation in the global economy. The globalization and world cities perspective suggests that as cities achieve global prominence, they should experience certain social structural transformations, some of which are problematic, such as increasing polarization and marginalization. But critics of this view argue that the ‘globalizationists’ ignore the role of the state, which, to them, has a more profound influence over urban transformations. This article surveys some of the research and data on Seoul’s recent social transformation and compares these changes to the expectations of the globalization perspective and to the counter-argument that state policies are more important. We also discuss the likelihood that the Korean capital will improve or even maintain its prominence in the world-systems city system.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0250.004

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 head0.038
GPT teacher head0.378
Teacher spread0.341 · 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 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

Citations34
Published2006
Admission routes1
Has abstractyes

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