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Record W2599398286 · doi:10.1177/0896920517698539

Traveling Policy: Place Marketing and the Neoliberal Turn of Urban Studies in South Korea

2017· article· en· W2599398286 on OpenAlexaff
Laam Hae

Bibliographic record

VenueCritical Sociology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsYork University
FundersNational Research Foundation of Korea
KeywordsDemocratizationVanguardCity marketingPolitical scienceDecentralizationContext (archaeology)AuthoritarianismPolitical economyEconomyEconomic growthSociologyEconomicsDemocracyPoliticsGeography

Abstract

fetched live from OpenAlex

This paper examines how South Korean policy field in the 1990s adopted Western style place-marketing strategies, and put them into practice as cultural revitalization programs of different Korean cities. The emergence of place marketing in Korea as a new paradigm for local growth stems from Korea’s transition from a developmental to a post-developmental system, which was a conjunctural outcome of democratization, neoliberalization and administrative decentralization of the early 1990s. This paper interrogates how place marketing traveled from the West to Korea in this context. In particular, it attends to how critical urbanists in Korea became a vanguard in mobilizing and developing place marketing for different local governments, perceiving it as a progressive alternative to the authoritarian, economy-centric developmentalist urban paradigm of the previous decades, despite its entanglement in the neoliberal urban paradigm of the West. The paper also examines the contradictions and conflicts that place-marketing policies have generated across different places in Korea.

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)0.002
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.008
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.104
GPT teacher head0.398
Teacher spread0.294 · 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

Citations16
Published2017
Admission routes1
Has abstractyes

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