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Record W3143027358 · doi:10.1177/15554120211005232

Postmodern Medusa: The Monstrous-Feminine in <i>StarCraft II: Heart of the Swarm</i>

2021· article· en· W3143027358 on OpenAlexaff
Gregory E. Blomquist

Bibliographic record

VenueGames and Culture · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCharacter (mathematics)Agency (philosophy)ImitationSubjectivityAestheticsPerspective (graphical)PostmodernismRepresentation (politics)EmpathyMonsterResistance (ecology)SociologyPsychologyEpistemologyArtSocial psychologyPhilosophyVisual artsLiteraturePoliticsLaw

Abstract

fetched live from OpenAlex

This article explores the representation of monstrous-feminine agency through the character of Kerrigan in the StarCraft series with emphasis on StarCraft II: Heart of the Swarm. Kerrigan’s subjectivity as a player-character complicates her in ways that require a different application of the monstrous-feminine from those characters from literature, film, and video games that position them as enemies to overcome. The article begins examining Kerrigan through the lens of the monstrous-feminine and the abject before discussing how her hypersexualization ostensibly contradicts her monstrosity as an empowering force. The author then explores the obstacles Kerrigan must overcome and how this struggle reifies her disruption of and resistance against the symbolic order. The discussion concludes that Kerrigan’s connection between the player and monstrous-feminine character is a significant paradigm shift for the female monster and how agency and empathy allow players to understand the monstrous-feminine in a new perspective.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.141

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 head0.009
GPT teacher head0.253
Teacher spread0.243 · 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 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

Citations3
Published2021
Admission routes1
Has abstractyes

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