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Record W1964911265 · doi:10.5539/ass.v10n9p245

Sing, Dance, and Be Merry: The Key to Successful Urban Development?

2014· article· en· W1964911265 on OpenAlexvenueno aff
Youngwha Kee, Yunji Kim, Yoonjin Lee

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
FundersNational Research Foundation of KoreaNational Research Foundation
KeywordsRedevelopmentSympathySpace (punctuation)Urban regenerationAction (physics)SociologyDanceKey (lock)Political sciencePublic relationsSocial psychologyPsychologyGeographyVisual artsLawArtEnvironmental planning

Abstract

fetched live from OpenAlex

This study examines a unique case of urban redevelopment conflict in Seoul, South Korea. The Duriban case is one of the few urban redevelopment cases in South Korea that was peacefully resolved with protection of tenants' rights. The research aimed to answer why this case was peacefully resolved while other redevelopment cases have been contentious and even violent. Through documentary analysis and in-depth interviews with key actors, we identified the following eight categories as important factors: emotional support; sympathy; loose networks or bonds; continued action and volunteerism; place of interaction and bonding; encouragement and motivation for participation; transformation of physical space into a psychological space; and creating a meaningful and symbolic space. The findings highlight how community building through arts and cultural activities can be an important tool for socially just urban redevelopment.

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)0.002
metaresearch head score (Gemma)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.017
Scholarly communication0.0060.005
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.029
GPT teacher head0.293
Teacher spread0.264 · 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

Citations19
Published2014
Admission routes1
Has abstractyes

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