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Record W2161176779 · doi:10.1177/1012690210387540

The built sport spectacle and the opacity of democracy

2010· article· en· W2161176779 on OpenAlexaboutno aff
Michael Friedman, David L. Andrews

Bibliographic record

VenueInternational Review for the Sociology of Sport · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsSpectacleStadiumPoliticsCorporate governanceDemocracyPolitical scienceSociologyPublic administrationStatus quoLeagueLawPolitical economyManagement

Abstract

fetched live from OpenAlex

In 2004, city leaders in Washington, DC approved the construction of Nationals Park, in order to encourage Major League Baseball to relocate the Montreal Expos to the city. With public funding of the stadium exceeding $611 million, this became the most generous stadium subsidy in the United States at that time (Sports Facilities Reports, 2008). In this revealing action, city leaders clearly demonstrated their priorities by funding a project that primarily benefits visitors and corporate interests over the pressing needs of the city’s residents. Nationals Park is, thus, a spectacle, which, in David Harvey’s (2001b) terms helps to mask Washington’s ‘rot beneath the glitter’ (p. 140). Furthermore, and given the idiosyncratic political governance operating within Washington DC, this article utilizes a combination of Debordian and Lefebvrean theorizing in identifying and examining Nationals Park as a sporting edifice whose symbolic and aesthetic presence is rooted in the city’s pseudo-democratic aura, but whose socio-structural derivation and effects actively perpetuate Washington’s constitutional disenfranchisement and the locally iniquitous status quo.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.375
Teacher spread0.347 · 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 designTheoretical or conceptual
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

Citations33
Published2010
Admission routes1
Has abstractyes

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