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Record W3016986408 · doi:10.1123/ssj.2019-0087

Get That S.O.B. Off the Field: A Critical Discourse Analysis of NFL Team Owners’ Responses to President Trump’s Comments About Athlete Protests

2020· article· en· W3016986408 on OpenAlexaff
Kerry R. McGannon, Ted M. Butryn

Bibliographic record

VenueSociology of Sport Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsLaurentian University
Fundersnot available
KeywordsRacismIdeologySociologyLeagueGender studiesNationalismCritical discourse analysisScholarshipWhite (mutation)PoliticsMedia studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

In this study, scholarship was extended on the cultural meanings of race and athlete activism by interrogating one key media spectacle surrounding athlete protests: President Trump’s 2017 speech questioning the National Football League (NFL) players’ character, with a focus on NFL owners’ responses. The NFL owners’ statements (n = 32) were subjected to critical discourse analysis. Discourses of post-racial nationalism and functionalism and the subject positions of “good player citizen” and “benevolent facilitator” (re)created meanings of the protests devoid of racial politics, linked to ideologies of color blindness, meritocracy, and diversity. These discourses and subject positions allowed the NFL owners to control protest meanings to maintain White privilege and appeal to their White fan base. These findings expand research on color-blind racism in sport, which perpetuates neoliberal ideals and the myth of a post-racial America, via taken-for-granted language use within discourses.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.732

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.389
Teacher spread0.335 · 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 designObservational
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

Citations14
Published2020
Admission routes1
Has abstractyes

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