‘Don’t Call Me White’: Fashioning Sami Zayn’s Arabic and transnational identities
Bibliographic record
Abstract
Abstract Though mainstream professional wrestling depends on and benefits from anglo-normative, Western hegemony, contemporary wrestling also subverts and parodies it. One character who can be read as white, Sami Zayn, undermines this hegemony through subtly asserting his Arabic and transnational identities. In wrestling, a character’s apparel functions as a metonym for the character, and with his tights Zayn counters mainstream Islamophobic discourse about Arabs post 9/11. Zayn’s tights are decorated with many national flags, Arabic characters and Roman letters to show he possesses a complex identity influenced by not only his ethnic heritage (Syrian) and country of birth (Canada), but every country he has visited and the cultures within them. His popularity and success allow a space within World Wrestling Entertainment for non-white characters to perform identities not limited to caricatures of their ethnic and racial backgrounds.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.013 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".