“I Can Feel You Here”: Queering Intimacy and Haptics in First-Person Shooters and Beyond
Bibliographic record
Abstract
To explore queer touch in digital spaces, the authors consider three games that sit uneasily within the genre of the first-person shooter (FPS), in which the player mediates gameplay through a first-person perspective, typically in the form of an armed individual. The FPS was fundamental in establishing such technological idiosyncrasies as real-time rendering and physics that still shape digital intimacy today. As these techniques were developed, a normative and often violent regime of touch was established whereby sight equated destructive, obliterating intimacy. Yet, as explored in this article, through techniques such as glitch, mechanical remixing, and code reappropriation, normative touch itself can be broken, giving way to queerer forms of intimacy. The authors center their analysis on Trespasser, Portal, and Polaris. Although disparate in content, production context, and temporality, all three games seek to reinterpret physical intimacy in code and narrative.
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 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.034 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".