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Record W3035332956 · doi:10.5430/ijba.v11n4p1

A Critique of the Creative Economy, Creative City and Creative Class From the Global South

2020· article· en· W3035332956 on OpenAlexvenueno aff
Diego Santos Vieira de Jesús, Daniel Kamlot, Veranise Jacubowski Correia Dubeux

Bibliographic record

VenueInternational Journal of Business Administration · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsCreative classCreative cityCreativityMainstreamArgument (complex analysis)Class (philosophy)Creative CitiesSociologyCreative economyPoliticsNew classEconomicsPolitical scienceEpistemologyMarket economyLaw

Abstract

fetched live from OpenAlex

The aims are to identify and examine the inconsistencies and incongruities of the definitions of “creative economy”, “creative city” and “creative class” in their application to the study and the formulation of public policies in the Global South. The central argument points out that 1) the idea of “creative economy” seemed to conceive peripheral societies would be flat tables on which pre-given economic governance strategies for creative sectors could be replicated; 2) the concept of a “creative city” by the mainstream does not deal with the specific political-economic obstacles in the Global South, so it seems more feasible to define “creative city” from a culturally specific understanding of what creativity is and recognize the motivations for creating a creative city can come from different actors according to local circumstances; 3) the mobilization of creativity in the exercise of the profession is a weak criterion for defining the “creative class”, which motivates difficulties regarding the self-identification of individuals as members of it. They reproduce hierarchical regimes that exclude differences.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.055
GPT teacher head0.322
Teacher spread0.267 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations9
Published2020
Admission routes1
Has abstractyes

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