Sport, Communication, and the Culture of Consumption: On Language and Identity
Bibliographic record
Abstract
This article provides an editorial introduction to the second of two special issues of American Behavioral Scientist on “Sport, Communication, and the Culture of Consumption.” This second issue focuses on “Language and Identity” and brings together American, Canadian, and British scholars from communication, media studies, rhetoric, philosophy, sport, and cultural studies. The language of sport is featured in analyses of bullshit in mediated sports discourse, in themes of justice as articulated in a blogosphere defense of doping in cycling, and rhetorical strategies that surround our thinking of poker as sport. The intersection of consumption with social and cultural formations of identity is examined in studies of the post-Michael Jordan NBA’s “ghettocentric logic,” in racialized commentary by commentators in broadcasts of NCAA men’s and women’s Final Four basketball games, and the role that media play in formations of hegemonic masculinities for high school youth.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.023 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".