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Record W4311637721 · doi:10.54028/nj202221220

Understanding the Dynamic Creative Clustering in the Phra Athit Road Area of Bangkok

2022· article· en· W4311637721 on OpenAlexaboutno aff
Wimonrart Issarathumnoon

Bibliographic record

VenueNakhara Journal of Environmental Design and Planning · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
FundersChulalongkorn University
KeywordsResource (disambiguation)ExhibitionQuarter (Canadian coin)Creative industriesCreative cityFunction (biology)Creative economySociologyCreative CitiesMarketingPublic relationsBusinessCreativityGeographyPolitical scienceVisual artsPsychologySocial psychologyComputer scienceLawArt

Abstract

fetched live from OpenAlex

This article examines changes along Phra Athit Road in Rattanakosin's historic center. With the support of the state, a former commercial street became a "cultural quarter" and eventually a "cultural-creative cluster," with creative activities infiltrating the neighborhoods. For this study, the researcher conducted a field survey and interviewed creative entrepreneurs in four sub-districts. The Phra Athit Road social and cultural resources reflect the qualities or potential resources of traditional neighbourhoods that have fostered the development of creative clusters. "Urban culture” is one of the district's key cultural resources that is properly understood and utilized, and its complex network of creative people is a crucial social resource. These creative people are “outsiders” with strong relationships to “insiders”; some of them advocate a new way of living, while others comprise groups of intellectuals with creative economy talents and tasks. Cultural-creative clusters comprise more than people; they are typified by cafés and bars, exhibition spaces, and the production of creative products. These clusters may vary from one another in function and location, and newer clusters, less dense than the original, are less harmful to traditional communities and businesses. What they have in common is that they have enabled participants to gain real-life experiences and join distinctive activities customized by entrepreneurs. Still, those who use external resources to create goods and develop a creative cluster may endanger the very neighbourhoods where they take root. The Phra Athit Road area provides a deep understanding of "creative clustering," which refers to a dynamic process that has taken place in some traditional neighbourhoods, based on the positive exploitation of their rich traditional, artistic, and cultural resources. Entrepreneurs are producing unique products that fit into complex systems, which is good for the area, but may also disrupt established patterns in the community. Transforming the historic area gradually could help locals adjust to the change. This study proposes the following approaches to promote both the protection of traditional structures and the acceptance of change: (1) The design or planning of the area should allow for development that is consistent with the rhythm of life in the area. Proper pacing of changes and the growth of well-sized creative clusters create an ecosystem that is good for both the residents and creative entrepreneurs. (2) The neighbourhood’s values should be enhanced by integrating local and external resources. The wide range of creative production and consumption activities that are created from these resources will be unique and endlessly adaptable. (3) The adaptability of cultural-creative clusters should be optimized through programs provide good services and offer support to the urban regeneration. However, such programs and support should not limit the creativity and flexibility of these clusters.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.383

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0070.006
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.123
GPT teacher head0.284
Teacher spread0.161 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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