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Record W2137457273 · doi:10.1068/d283t

Art of the Demolition Derby: Gender, Space, and Antiproduction

2003· article· en· W2137457273 on OpenAlexaff
Aurian Haller

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPerformative utterancePerformativitySociologyIdentity (music)AestheticsGender studiesHuman sexualitySpace (punctuation)Representation (politics)Race (biology)DemolitionMeaning (existential)Consumption (sociology)ArtEpistemologyHistoryPolitical sciencePoliticsArchaeologyComputer science

Abstract

fetched live from OpenAlex

Geographers have productively employed recent theories of performativity to investigate the ways in which space and identity (that is, gender, sexuality, and race) are interdependent, in that they produce and reinforce each other. Expanding on such work, in this paper I explore the spatial and performative aspects of artist Bill Featherston's representation of the sports and pastimes of his working-class hometown, specifically that of demolition derbies. Such theatrical spaces, both actual and represented, present a somewhat unusual challenge to geographers interested in how meaning and identity are negotiated within and through the production of specific sites. I examine how gender and the performance of capitalist production are at once reinforced and subverted through the creation and consumption of the spaces of realist art.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.025
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0010.001
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 head0.026
GPT teacher head0.248
Teacher spread0.222 · 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 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

Citations8
Published2003
Admission routes1
Has abstractyes

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