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White Zombie as Captivity Narrative and the Death of Certainty

2020· article· en· W4247137153 on OpenAlexaff
Mark Cronlund Anderson

Bibliographic record

VenueThe International Visual Culture Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsZombieWhite (mutation)NarrativeHistoryContext (archaeology)CaptivityLiteratureVampireTrilogyArtAestheticsArt history

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.370
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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