“It’s Still Real to Me”: Contemporary Professional Wrestling, Neo-Liberalism, and the Problems of Performed/Real Violence
Bibliographic record
Abstract
Beginning from the premise (vis-à-vis wrestler-turned-scholar Laurence de Garis) that professional wrestling scholarship has historically overlooked the embodied, physical dimension of the form in favour of its drama, and reflecting on a series of professional wrestling story-lines that have blurred the lines between staged performance (“kayfabe”) and reality, this article suggests that the business of professional wrestling offers a vivid case study for the rise and dissemination of what political theorist Wendy Brown calls neo-liberal rationality: the dissemination of the market model to every aspect and activity of human life. Drawing on Brown’s work, the language of World Wrestling Entertainment (WWE) contracts, and professional wrestling’s territorial history, this article argues that contemporary story-lines in professional wrestling rationalize, economize, and trivialize the form’s very real violent labour, even rendering audiences complicit in said violence—while serving also as a potent vehicle for understanding the metaphorical (and sometimes literal) violence of neo-liberal rationality more broadly.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.012 | 0.095 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".