Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>In the past decade, “walking simulator” has evolved from an insult to a critically and commercially successful genre of games. Through subversive mechanics and an emphasis on immersive, affective storytelling, these games are well-situated to explore LGBTQ+ narratives and queer forms of play (Ruberg, 2019). This paper unpacks the affective implications of games that urge the player to “snoop around” personal spaces, including Gone Home (Fullbright, 2013), What Remains of Edith Finch (Giant Sparrow, 2017), and A Normal Lost Phone (Accidental Queens, 2017). After a broad overview of the genre and relevant scholarship, the author examines the emotional impact of ludic “snooping”. Specifically, the author considers how games centring this mechanic simulate intimacy (while problematizing consent), engage agency through interaction and movement, and harness a disorienting atmosphere in their storytelling. Finally, the paper reflects on how character identification can be understood in the context of “games for change”, so-called empathy games, and the need to move towards a more thoughtful engagement with queer affect. This paper touches on each of these issues with a broad, interdisciplinary approach rooted in rhetoric, close reading, and queer theory.</p>
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it