Bibliographic record
Abstract
This chapter explores the concept of control that is significant to both video game interfaces and to contemporary political power. Video games train players to expect systems of control through modes of rationalism, individualism, and efficiency. Alongside this impulse toward sovereignty, digital games also make available alternative dynamics of non-sovereignty. This chapter analyzes three queer games. First, it attends to the interactive narrative techniques of Anna Anthropy’s Dys4ia (2012), an autobiographical browser-based assemblage of mini-games that explores processes of gender transition. Next, the chapter examines the formal properties of Liz Ryerson’s Problem Attic (2013), another autobiographical yet considerably more abstract platformer game that explores power and powerlessness as it relates to identity. The final case is Auriea Harvey and Michaël Samyn’s avant-garde, touch-screen video game Luxuria Superbia (2013), which uses multisensory stimulation and opaque feedback in a hands-on exploration of sexuality that challenges conventional control schemes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.049 | 0.007 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".