White Zombie as Captivity Narrative and the Death of Certainty
Bibliographic record
Abstract
Horror films such as White Zombie (1932) reveal viewers to themselves by narrating in the currency of audience anxiety. Such movies evoke fright because they recapitulate fear and trauma that audiences have already internalized or continue to experience, even if they are not aware of it. White Zombie’s particular tack conjures up an updated captivity narrative wherein a virginal white damsel is abducted by a savage Other. The shell of the captivity story, of course, is as old as America. In its earliest incarnation it featured American Indians in the role as savage Other, fiendishly imagined as having been desperate to get their clutches on white females and all that hey symbolized. In this way, it generated much of the emotional heat stoking Manifest Destiny, that is, American imperial conquest both of the continent and then, later, as in the case of Haiti, of the Caribbean Basin. White Zombie must of course be understood in the context of the American invasion and occupation of Haiti (1915-1934). As it revisits the terrain inhabited by the American black Other, it also speaks to the history of American slavery. The Other here is African-American, not surprisingly given the date and nature of American society of the day, typically imagined in wildly pejorative fashion in early American arts and culture. This essay explores White Zombie as a modified captivity narrative, pace Last of the Mohicans through John Ford’s The Searchers (1956), the Rambo trilogy (1982, 1985, 1988), the Taken trilogy (2008, 1012, 2014), even Mario and Luigi’s efforts to rescue Princess Peach from Bowser.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".