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Record W3183106100 · doi:10.1177/15554120211030800

Irradiated Cereal and Abject Meat: Food as Satire and Warning in the <i>Fallout</i> Series

2021· article· en· W3183106100 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

VenueGames and Culture · 2021
Typearticle
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsYork University
Fundersnot available
KeywordsCreaturesIdeologyNarrativeConsumerismReading (process)Consumption (sociology)Food irradiationVideo gameAestheticsSociologyHistoryArtPoliticsLiteraturePolitical scienceArchaeologyComputer scienceLaw

Abstract

fetched live from OpenAlex

This article is a close reading of food and beverages in Bethesda’s acclaimed post-apocalyptic science fiction video game series, Fallout. Through a discussion of the visual design, narrative positioning, and in-game function of food and beverage consumption, this article demonstrates how Fallout uses food to critique the unchecked technological development, rampant consumerism, and environmental devastation of post-war American atomic culture. Specifically, pre-packaged, pre-apocalypse food is presented as a focal point for satire, while the irradiated meat harvested from the mutated creatures that populate this post-apocalyptic world is presented as abject and ambiguous. In this sense, food in the Fallout series, as in much science fiction media, can reinforce or challenge ideologies, beliefs, and cultural norms by evoking real-world anxieties.

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)0.000
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 score0.598
Threshold uncertainty score0.464

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 head0.024
GPT teacher head0.315
Teacher spread0.291 · 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