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Record W4409961936 · doi:10.1080/2154896x.2025.2492490

Climate conflict in Clive and Dirk Cussler’s action thriller <i>Arctic Drift</i>

2025· article· en· W4409961936 on OpenAlexaboutno aff
Mehdi Ghasemi, Janne Korkka, Elina Valovirta

Bibliographic record

VenueThe Polar Journal · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsAction (physics)The arcticClimate changeArcticHistoryClimatologyArtArt historyGeologyOceanographyPhysics

Abstract

fetched live from OpenAlex

This paper offers a close reading of Clive and Dirk Cussler’s Arctic Drift (2008) with a focus on the novel’s engagement with human exploration and exploitation of the Arctic and its resources. To study climate and conflict in the novel, we draw upon the Arctic’s potential as a geopolitical arena where territorial claims, resource competition, and environmental challenges give rise to both confrontation and collaboration. We also show how the novel rehistoricises the final Franklin expedition to the Northwest Passage (1845 onwards) and examine the techniques that the authors employ to raise scepticism towards a number of historical and scientific metanarratives with their revisionist narrative. Building on this, the paper investigates how the novel critiques the persistence of colonial ideologies in Arctic discourse, depicting corporate and governmental interests as extensions of historical imperialism. Further, the paper demonstrates how the ecological narrative of the novel draws upon the constantly shifting and mutating ecosystems of the Canadian Arctic and negotiates the significance of sustainability in the endangered circumpolar North.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.538

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 studies0.0010.000
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 head0.018
GPT teacher head0.244
Teacher spread0.225 · 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
Published2025
Admission routes1
Has abstractyes

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