The Intertextual Terminator: The Role of Film in Branding “Arnold Schwarzenegger”
Bibliographic record
Abstract
Film has clearly been Arnold Schwarzenegger’s most powerful promotional tool. Given how he wielded his action hero personas during the 2003 recall election from which he emerged Governor of California, an examination of his construction in film is both warranted and necessary. In this paper, I trace the development of his celebrity through a selection of his films between 1970 and 2003 and show that his image went through three major transitions from: a) initially being depicted as a foreigner and alien “other” in the 1970s to b) an American and icon of muscular masculinity in Hollywood action films of the mid to later 1980s and c) to a “New Age Guy” and family man through his movement into comedy and family themed films in the 1990s and 200s. My analysis highlights the powerful role that discourses about masculinity, whiteness and American nationhood played in supporting Schwarzenegger's constructions as a “body of governance” and in particular, his construction as a leader.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".