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Record W4395455537 · doi:10.1177/15554120241246575

Times They Are A-Changin’? Evolving Representations of Women in the Assassin's Creed Franchise

2024· article· en· W4395455537 on OpenAlexaff
Lina Eklund, Andrei Zanescu

Bibliographic record

VenueGames and Culture · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsConcordia University
Fundersnot available
KeywordsNetnographyCreedNarrativeVisionRepresentation (politics)FranchiseSociologyAestheticsGender studiesPsychologySocial psychologyAdvertisingMedia studiesArtSocial mediaLiteraturePolitical scienceMarketingLaw

Abstract

fetched live from OpenAlex

This study analyzes representations of women—protagonists and NPCs—in Assassińs Creed games between 2007 and 2024, to explore the impact of the last decades’ work for gender rights on the English language AAA game industry. Through close playing, we explore game bodies with attention to the surface level of narrative, graphics, sound, and underlying mechanics of actions and reactions. Through netnography, we add promotional material, retail sites, and social movements of importance to the analysis. Results show four eras for female protagonists: nonexistent, protagonists in side games, defined by their male coprotagonists, and choose your gender. Over the 17 years studied, women are more present, and NPCs are more complex. Though female protagonists remain sidelined or shallow representations as female skins on male characters. We discuss how discrepancies and conflicts between artistic visions, marketing, and brand choices impact how women are represented, and the impact on representation by external cultural events, for example Gamergate/Metoo, during this period.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.701
Threshold uncertainty score0.174

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 head0.012
GPT teacher head0.284
Teacher spread0.273 · 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 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

Citations2
Published2024
Admission routes1
Has abstractyes

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