Illusions of space and time: An ethical approach to temporality in games1
Bibliographic record
Abstract
Abstract Time is a much-explored topic in game studies, as are questions of historical accuracy and ethics. However, an ethics of time in games remains relatively unexplored. This article takes an ethical approach to theorizing game time, drawing on French philosopher Michel Serres’s distinction between linear and topological time. Serres argues that conceiving of time linearly commits us to the belief that progress itself is a deterministic and oftentimes violent series of upheavals. Contemporary video games that play with time seem to exemplify this. Games like Braid, Assassins Creed and Prince of Persia: The Sands of Time have players manipulate time for the explicit purpose of reproducing a singular narrative, compelling players to synchronize their decisions with a violent, linear series of events. In this article such games are contrasted with more temporally topological titles such as Her Story, The Legend of Zelda: Majora’s Mask and Life is Strange, which deconstruct linearity and demonstrate the ethical affordances of non-linear game temporalities.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.058 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".