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Record W2083126400 · doi:10.1177/1532708608321575

Offensive Lines: Sport-State Synergy in an Era of Perpetual War

2008· article· en· W2083126400 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCulture Studies &#x2194 Critical Methodologies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsQueen's University
Fundersnot available
KeywordsMilitarizationOffensiveLeagueState (computer science)Political scienceAdministration (probate law)PoliticsFootballTerrorismIdeologyNexus (standard)SpectaclePresidential electionSpectator sportPolitical economyLawMedia studiesSociologyAdvertisingManagementEngineering

Abstract

fetched live from OpenAlex

Although relationships between professional sport and the United States military are not new, following the terrorist attacks of September 11, 2001, a system emerged in which sport culture moved beyond its customary role as an ideological support to the state. In this new configuration, organizations like the National Football League (NFL) integrated Bush administration policy into their business strategy, and the Bush administration built an audience for its military ventures through an association with a brand that attracts more fans each week than a presidential election draws voters once every 4 years. Drawing on discourse surrounding the use of military metaphors in sports commentary, Pat Tillman's death, and NFL Kickoff celebrations, I argue that there is an intensified depth and mutuality to the sport-war nexus, a shift that is indicative of the militarization of everyday life and, simultaneously, of the sportification of political life, in the contemporary United States.

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.

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)0.002
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.209
GPT teacher head0.454
Teacher spread0.245 · 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