MétaCan
Menu
Back to cohort
Record W2266129247

Renegade Sex: Compulsory Sexuality and Charmed Magic Circles in the Mass Effect series

2015· article· en· W2266129247 on OpenAlexaff
Meghan Blythe Adams

Bibliographic record

VenueLoading... · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsWestern University
Fundersnot available
KeywordsQueerHuman sexualityGender studiesMainstreamSociologyLesbianSexual identityIdentity (music)AestheticsPolitical scienceArtLaw
DOInot available

Abstract

fetched live from OpenAlex

This article examines portrayals of sexuality in video games, particularly in terms of the increasing inclusion of queer and non-normative sexuality. This increasing diversity of representations remains rife with problems, however, ranging from the privileging of female queer identity over male queer identity in much of the Mass Effect series, to the “gay button” issue of having queer content only accessible through player effort to locate it. In order to examine both this progress and its problems, this article primarily uses close readings of game texts including the Mass Effect series, supplemented by key existing critical work on in-game sexuality (Consalvo, 2003; Shaw, 2009; Greer, 2013). The article begins with an application of Adrienne Rich’s concept of “compulsory heterosexuality” to game worlds and examines the privileging of certain sexual activities and identities in games using Gayle S. Rubin’s concept of the “charmed circle”. Both of these concepts are applied to games more generally, and then to the work of game development studio BioWare particularly with a focus on their Mass Effect series. This article concludes with a consideration of some work by independent developers that both expand and critique the hierarchies of sex and what the mainstream game development community could learn from these projects.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.017
Scholarly communication0.0060.005
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.035
GPT teacher head0.308
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 source (direct Gemma or distilled Codex), 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

Citations12
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueLoading...Same topicDigital Games and MediaFrench-language works237,207