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Record W2471191018 · doi:10.1177/0042098016658390

Neighbourhood artistic disaffiliation in Hamilton, Ontario, Canada

2016· article· en· W2471191018 on OpenAlexaffabout
Alison L. Bain

Bibliographic record

VenueUrban Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsYork University
Fundersnot available
KeywordsNeighbourhood (mathematics)ExternalitySociologyFutures contractPoliticsThe artsAestheticsCreative citySocial psychologyPolitical sciencePsychologyLawEconomicsCreativityArt

Abstract

fetched live from OpenAlex

This article argues that the creative drive of cultural workers to envision alternative urban futures and to make real changes in neighbourhoods in the urban present, while politically powerful and imaginatively seductive to urban decision-makers, contains destructive impulses. Such a drive can challenge, but also reinforce, the established social order and unequal power relations. This article critically examines the spatial politics of creative destruction that can unfold in the place-making wake of cultural workers. A case study is used from the mid-sized, industrial city of Hamilton of a deprived inner-city neighbourhood that is informally being reimagined as an arts district. In this neighbourhood, some cultural workers selectively practice middle-class disaffiliation. Individual acts of avoidance, control and destruction function as withdrawal strategies to help minimise the negative externalities of crime and social disorder and to realise a vision of this neighbourhood in their own image.

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 score0.053
Threshold uncertainty score0.383

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0210.005
Scholarly communication0.0030.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.045
GPT teacher head0.282
Teacher spread0.237 · 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

Citations12
Published2016
Admission routes2
Has abstractyes

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