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Record W2155631520 · doi:10.1123/ijsc.2.4.432

To Build or Not to Build: Examining the Public Discourse Regarding St. Petersburg’s Stadium Plan

2009· article· en· W2155631520 on OpenAlexaff
Michael Mondello, Richard W. Schwester, Brad R. Humphreys

Bibliographic record

VenueInternational Journal of Sport Communication · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsStadiumLeagueOpposition (politics)Context (archaeology)SociologyPlan (archaeology)Empirical researchInteractive kioskArgument (complex analysis)Public relationsPublic administrationPolitical scienceLawHistoryComputer scienceArchaeology

Abstract

fetched live from OpenAlex

Major League Baseball’s Tampa Bay Rays have proposed constructing a facility on the St. Petersburg waterfront. The projected cost of this stadium is $450 million, which will be financed partially by the Rays’ ownership. The remaining cost will be financed through tax revenues generated from the private redevelopment of Tropicana Field—the Rays’ current facility. Using content analysis, this article examines the public discourse regarding the proposed stadium. A pillar of controversy surrounding the stadium plan centers on opportunity-cost issues. Furthermore, in the context of the public-good argument, there is empirical evidence among bloggers that the stadium would stimulate awareness, improve the city’s image, or simply give the city a platform to showcase its amenities. This study aimed to provide a better understanding of the prevailing themes characterizing support for or opposition to this stadium plan and generate testable research hypotheses.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.811
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0030.000
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 head0.076
GPT teacher head0.381
Teacher spread0.306 · 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.

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

Citations10
Published2009
Admission routes1
Has abstractyes

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