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Record W2131362635 · doi:10.1111/1468-2427.12168

Cracks in the Creative City: The Contradictions of Community Arts Practice

2014· article· en· W2131362635 on OpenAlexaboutno aff
Heather McLean

Bibliographic record

VenueInternational Journal of Urban and Regional Research · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsGentrificationThe artsSociologyPraxisCreativityUrbanismRedevelopmentAestheticsCitizen journalismPoliticsPerformative utteranceVisual artsPublic spaceMedia studiesArchitecturePolitical scienceArtEconomic growthLaw

Abstract

fetched live from OpenAlex

Abstract The recent flurry of research about arts‐led regeneration initiatives illuminates how contemporary arts festivals can become complicit in the production of urban inequality. But researchers rarely engage with detailed empirical examples that shed light on the contradictory role that artists sometimes play within these spectacularized events. Similar research in performance studies connects the political limits and potential of social practice arts — interventions that encourage artists and non‐artists to co‐produce work — as civic boosters strive to stage cities in order to attract investment. In this article, I explore the case study of Streetscape: Living Space at Regent Park , a participatory artistic intervention programmed in a public housing neighbourhood that is undergoing redevelopment in Toronto, C anada. Streetscape was part of the Luminato festival, an elite booster coalition‐led festival of ‘creativity’. I refer to these arts interventions to demonstrate how artists engaging in social practice arts can become complicit in naturalizing colonial gentrification processes at multiple scales. But I also reveal how artists can leverage heterogeneous arts‐led regeneration strategies to make space for ‘radical social praxis’ ( K won, 2004), interventions that challenge hegemonic regimes. I conclude by interrogating the effectiveness of place‐based efforts in unsettling the ‘creative city’.

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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.649
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.288
GPT teacher head0.474
Teacher spread0.186 · 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 designNot applicable
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

Citations94
Published2014
Admission routes1
Has abstractyes

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