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Record W4416416878 · doi:10.5325/ags.1.2.0236

Lichenthropy: Possibility Space and the Chthulucene in <i>The Last of Us</i>

2025· article· en· W4416416878 on OpenAlexaff
Krista Collier-Jarvis

Bibliographic record

VenueAmerican Gothic Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsZombieAnthropoceneNarrativeSpace (punctuation)StorytellingAnthropic principleObject (grammar)

Abstract

fetched live from OpenAlex

Abstract Traditionally, ecoGothic narratives have ended with “man” overthrowing the environment and securing his position as the dominant species. However, American zombie video games, such as The Last of Us, have challenged this outcome, collapsing distinctions between humans and the environment. This collapse engenders what Donna Haraway has called “response-ability.” Response-ability, however, requires a shift from Anthropic thinking to Chthulucentric living, and for fungal zombie video games, this takes the form of lichenthropy. Lichenthropy proposes a multispecies form of ecological being by way of Haraway’s concept of the Chthulucene in place of the Anthropocene to argue that the environmental storytelling potential of ecoGothic video games, through their interactivity, can efface the button-pushing harmful effects of climate change. Possibility space in The Last of Us can enhance the lichenthropic potential of the video game, but in many ways, it also limits it, suggesting that American citizens may not be ready to accept response-ability for their contributions to contemporary climate issues.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.133
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.006
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 head0.013
GPT teacher head0.343
Teacher spread0.331 · 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
Published2025
Admission routes1
Has abstractyes

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