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Record W2167370828 · doi:10.1177/0042098008098209

Artcetera: Narrativising Gentrification in Yorkville, Toronto

2008· article· en· W2167370828 on OpenAlexaffabout
Vanessa Mathews

Bibliographic record

VenueUrban Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGentrificationNeighbourhood (mathematics)Context (archaeology)Identity (music)Consumption (sociology)SculptureSociologyAestheticsVisual artsArtHistoryArchaeologyEconomicsEconomic growth

Abstract

fetched live from OpenAlex

In this paper, the relationship is traced between art and gentrification in the neighbourhood of Yorkville, Toronto, from 1960 to 2007. Following the exodus of artists and the more experimental art galleries in the 1960s, a result of social and economic upgrading, Yorkville was forced to recast its identity, a process that involved reproducing the creative pulse of the 1960s art scene. A set of interviews conducted with visual artists who worked and/or lived in Yorkville during the 1960s is centrally located in the piece to provide a context for the shift from production to consumption. In the remainder of the paper, the role of artistic production in the gentrified landscape is examined through three examples: theming through design, art galleries and sculpture. It is argued that the relationship between art and gentrification must be extended to include the role of the non-visible in the (re)production of place identity.

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 score0.144
Threshold uncertainty score0.314

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0180.013
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.139
GPT teacher head0.347
Teacher spread0.207 · 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

Citations28
Published2008
Admission routes2
Has abstractyes

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