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Record W6983593999

Mythological comedy through incongruity in Immortals Fenyx Rising : humor and playfulness in antiquity games

2024· article· en· W6983593999 on OpenAlexaboutno aff

Bibliographic record

VenueGhent University Academic Bibliography (Ghent University) · 2024
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsComedyMythologyDepictionTRACE (psycholinguistics)HighbrowAncient GreekStyle (visual arts)Greek mythology
DOInot available

Abstract

fetched live from OpenAlex

While academic research into the reception of classical antiquity in video games is between fifteen and twenty years old at this point, and despite the age-old dictum that games are meant to be entertaining, little attention has so far gone to elements of lightheartedness, playfulness, or humor in games with ancient settings. This article performs a qualitative game analysis of Greek mythology-inspired comedy in Immortals Fenyx Rising (Ubisoft Quebec, 2020). We concentrate on the game’s depiction of the Greek gods, and, drawing on the incongruity theory of comedy, argue that the game elicits humor by offering unconventional characterizations of these characters that deconstruct and subvert the highbrow nature often ascribed to Classics, as well as by overtly criticizing the gods for their flaws and immoral deeds. Additionally, we trace articulations of mythology and comedy in ancient Greek literature, and recognize Lucian’s Dialogues of the Gods (second century CE) as a text with similar textual structures, depictions of divine characters and attitudes towards the ancient myths. This article offers a first step towards identifying playful languages of comedy and levity in antiquity games, as well as towards uncovering different modalities of mythology reception across a wider corpus of games presenting Greco-Roman mythology.

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 categoriesMeta-epidemiology (narrow), Bibliometrics
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0140.024
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.039
GPT teacher head0.314
Teacher spread0.275 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2024
Admission routes1
Has abstractyes

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