Bibliographic record
Abstract
Video Games, Crime and Control: Playing Cops and Robbers is an effort to take seriously the criminological importance of video games. It pulls together an international group of scholars from Canada, Sweden, the United Kingdom, and the United States who utilize their skills to excavate the depths of a diverse selection of popular and noteworthy video games like BioShock, Death Stranding, P.T., Diablo 2, Red Dead Redemption, LEGO: Star Wars, Disco Elysium, Spider-Man, Spider-Man: Miles Morales, and Beat Cop . Involved is the curation of in-depth analyses that explore topics like criminological theory, policing, vigilantism, violence, genocide, mental illness, and intimate partner violence. By and large, these chapters consider video games as a reflection (warped or otherwise) of dominant cultural appetites, sensibilities, and anxieties, as well as a font of meaning from which audiences can draw ideas, values, perceptions, and even ideologies. This chapter introduces the edited volume, reviewing relevant literature and previews subsequent chapters.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.522 | 0.317 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".