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Record W7132505416

Imperial Gothic and Neo-Victorian Adaptations: the Supernatural in Dan Simmons's Novel The Terror (2007) and its Tv Adaptation

2022· article· en· W7132505416 on OpenAlexaboutno aff
Antonija Primorac

Bibliographic record

VenueRepository of the University of Rijeka, Faculty of Humanities and Social Sciences · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDepictionEscapismColonialismAdaptation (eye)Element (criminal law)Order (exchange)Power (physics)Imperial unit system
DOInot available

Abstract

fetched live from OpenAlex

The article analyses the ways in which the supernatural, as an element of the Victorian genre of imperial Gothic, is used in Dan Simmons's neo-Victorian novel The Terror (2007) and its 2018 TV adaptation. Simmons's The Terror is based on historical facts about the 1845 Franklin Expedition which set out towards what is now Arctic Canada in search of the North-West Passage and then disappeared without a trace. Simmons reconstructs the historical events and introduces elements of the supernatural in order to imagine the destinies of the crew of the expedition's ships, Erebus and Terror. The article focuses on how the supernatural is employed in the depiction of the colonial Other in the novel and its TV adaptation by analysing the ways in which the Victorian imperial Gothic elements of Simmons's novel bring to life Victorian values and worldview. Simmons's use of the imperial Gothic is compared to the 2018 screen adaptation of the novel written by Dan Kajganich and produced by Ridley Scott for AMC. It is argued that the adaptation deconstructs Simmons's use of the supernatural and puts the focus instead on questions of personal and group responsibility within a wider frame of imperialist expansionist policies and the repercussions of these for the environment.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
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 head0.037
GPT teacher head0.247
Teacher spread0.210 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueRepository of the University of Rijeka, Faculty of Humanities and Social SciencesSame topicGothic Literature and Media AnalysisFrench-language works237,207