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Record W2286743148 · doi:10.3138/jrpc.27.2.2910

Zombies in America and at Qumran: AMC's<i>The Walking Dead</i>, the Dead Sea Scrolls, and Apocalyptic Redux

2015· article· en· W2286743148 on OpenAlexvenueno aff
Kipp Davis

Bibliographic record

VenueJournal of Religion and Popular Culture · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
FundersUniversitetet i Agder
KeywordsDead Sea ScrollsApocalypticismContext (archaeology)PersecutionJudaismLiteratureHistoryPopularityArtExistentialismPhilosophyHebrew BibleArchaeologyBiblical studiesLawPolitical science

Abstract

fetched live from OpenAlex

The surging popularity of zombies in modern American fiction, film, and television is rooted in a form of “a-religious” apocalypticism: a fatalistic view of the world and the future without any hope for deliverance. This worldview contains a handful of intriguing similarities with the ancient Jewish eschatological expectations that appear in the Dead Sea Scrolls. This study surveys four prominent themes that are shared between the scrolls and the American hit television series, The Walking Dead: (1) expectations for the “last days”; (2) a persecution complex that produces doctrines of a “remnant”; (3) need for social preservation through “ritual” purity; and (4) “insider / outsider” polemics. This comparative exercise attempts to show how zombies in popular culture are one reflection of our own existential, socio-economic angst that finds expression in a post-modern, post-Christian context.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2015
Admission routes1
Has abstractyes

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