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Record W3000296854 · doi:10.1344/co201927150-166

The New Zombie Apocalypse and Social Crisis in South Korean Cinema.

2019· article· en· W3000296854 on OpenAlexaboutno aff
Sung-Ae Lee

Bibliographic record

VenueCoolabah · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsZombieMovie theaterMetaphorArtHistoryLiteratureArt historyDramaQuarter (Canadian coin)Popular culturePhilosophyTheology

Abstract

fetched live from OpenAlex

The popular culture version of the zombie, developed over the latter half of the twentieth century, made only sporadic appearances in South Korean film, which may in part be attributed to the restrictions on the distribution of American and Japanese films before 1988. Thus the first zombie film Monstrous Corpse (Goeshi 1980, directed by Gang Beom-Gu), was a loose remake of the Spanish-Italian Non si deve profanare il sonno dei morti (1974). Monstrous Corpse was largely forgotten until given a screening by KBS in 2011. Zombies don’t appear again for a quarter of a century. This article examines four zombie films released between 2012 and 2018: “Ambulance”, the fourth film in Horror Stories (2012), a popular horror portmanteau film; Train to Busan (2016) (directed by Yeon Sang-Ho), the first South Korean blockbuster film in the “zombie apocalypse” sub-genre; Seoul Station (2016), an animation prequel to Train to Busan (also directed by Yeon Sang-Ho); and Rampant (2018, directed by Kim Seong-Hun ), a costume drama set in Korea’s Joseon era. Based on a cognitive studies approach, this article examines two conceptual metaphors which underlie these films: the very common metaphor, LIFE IS A JOURNEY, and the endemically Korean metaphor THE NATION IS A FAMILY.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.014
GPT teacher head0.277
Teacher spread0.263 · 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 designQualitative
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

Citations6
Published2019
Admission routes1
Has abstractyes

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