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Record W2059557019 · doi:10.1080/14649361003637166

Zombie geographies and the undead city

2010· article· en· W2059557019 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial & Cultural Geography · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsZombieSociologyAestheticsIdentity (music)Space (punctuation)Subject (documents)HistoryArtPhilosophy

Abstract

fetched live from OpenAlex

In this paper I explore the connections between zombie films and bodies–cities. Common critical and popular analyses of zombie films focus on the body of the zombie, but pay little attention to surrounding spaces. Zombie films of the past ten years are increasingly being set in cities, a trend that I argue allows for the transfer of the ambiguous identity of zombie bodies to city spaces. The zombie outbreak creates an ‘other’-space that I term blank space in which previously rigidly codified spaces are subject to new constructions that reinscribe bodies with new, and potentially ‘other’, subjectivities. Through an analysis of six zombie films (Night of the Living Dead, Land of the Dead, Resident Evil, Resident Evil: Apocalypse, 28 Days Later, and 28 Weeks Later), I argue that for geographers, zombie films can be read as expressions of a bodies–cities theory that emphasizes the role that spatial and bodily otherness plays in the constitution of bodies and cities. For bodies–cities theory, zombies offer a manifestation of the mutuality between bodies and cities that foregrounds corporeality while articulating the importance of difference and otherness for the constitution of bodies and cities.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.287
Teacher spread0.276 · 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