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Record W2949174236 · doi:10.36939/cjur/vol28no1/art165

Art and Neighbourhood Change Beyond the City Centre

2019· article· en· W2949174236 on OpenAlexaffvenueabout
Theresa Enright, Christina Janise McIntyre

Bibliographic record

VenueCanadian journal of urban research · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThe artsNeighbourhood (mathematics)Public spaceSociologyArticulation (sociology)PoliticsInjusticePolitical sciencePublic administrationEngineering

Abstract

fetched live from OpenAlex

In critical urban research, artists are typically seen as drivers of central city gentrifi cation and public arts asdepoliticized tools of the creative city agenda. This paper takes Toronto’s Main Square as a case study, first,to delineate the multiple ways that community arts can influence social change beyond gentrifi cation, andsecond, to identify suburban space as an important site of cultural and creative policy articulation. We claimthat the unique non-central location of Main Square appears as a significant factor shaping the trajectory oftransformation and delimiting the political potential of arts in engendering public values and in addressingspatial injustice. We claim that rather than following the script of neoliberal creative city policies, communitybased public art can work within and against a market-driven logic of cultural programming to pose newopportunities for public space and public life.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.138
GPT teacher head0.340
Teacher spread0.202 · 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 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

Citations6
Published2019
Admission routes3
Has abstractyes

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