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Record W2472311366 · doi:10.1177/0263775816654915

Hos in the garden: Staging and resisting neoliberal creativity

2016· article· en· W2472311366 on OpenAlexaboutno aff
Heather McLean

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsPraxisQueerThe artsSociologyHegemonyNeoliberalism (international relations)Gender studiesAestheticsPoliticsVisual artsArtSocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

This article takes up the challenge of extending and enhancing the literature on arts interventions and creative city policies by considering the role of feminist and queer artistic praxis in contemporary urban politics. Here I reflect on the complicities and potentialities of two Toronto-based arts interventions: Dig In and the Dirty Plotz cabaret. I analyse an example of community based arts strategy that strived to ‘revitalise’ one disinvested Toronto neighbourhood. I also reflect on my experience performing drag king urban planner, Toby Sharp. Reflecting on these examples, I show how market-oriented arts policies entangle women artists in the cultivation of spaces of depoliticised feminism, homonormativity and white privilege. However, I also demonstrate how women artists are playfully and performatively pushing back at hegemonic regimes with the radical aesthetic praxis of cabaret. I maintain that bringing critical feminist arts spaces and cabaret practice into discussions about neoliberal urban policies uncovers sites of feminist resistance and solidarity, interventions that challenge violent processes of colonisation and privatisation on multiple fronts.

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)0.008
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.073
Scholarly communication0.0110.005
Open science0.0010.013
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.033
GPT teacher head0.256
Teacher spread0.223 · 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

Citations48
Published2016
Admission routes1
Has abstractyes

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