“The Only Thing I Am Guilty of Is Taking Too Many Jump Shots1”: A Deleuzian Media Analysis of Diana Taurasi’s Drug Charge in 2010
Why this work is in the frame
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Bibliographic record
Abstract
In November 2010, the US media reported that basketball player Diana Taurasi tested positive for a banned substance while playing in Turkey. In this study, we explore the media coverage of Taurasi’s positive drug test from a Deleuzian perspective. We consider the media coverage as an assemblage (Deleuze & Guattari, 1987; Malins, 2004) to analyze how Taurasi’s drug using body is articulated with the elite female sporting body in the coverage of her doping incident (Markula, 2004; Wise, 2011). Our analysis demonstrates that Taurasi’s position as a professional basketball player in the US dominated the discussion to legitimize her exoneration of banned substance use. In addition, Turkey, its “amateur” sport and poor drug control procedure, was located to the periphery to normalize a certain type of professionalism, doping control, and body as the desirable elements of sporting practice.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it