Les jeux vidéo de tir à la première personne (FPS) et le Pentagone : les limites du récit pour la science politique
Bibliographic record
Abstract
Jusqu’à maintenant, les politologues intéressés à l’étude des jeux vidéo ont dépendu des écoles narratives et ludologiques, qui les ont amalgamés aux médiums visuels. Ces études portent surtout sur la construction d’une représentation virtuelle et vertueuse de la guerre, même si des recherches – extérieures aux sciences sociales – démontrent toute une panoplie d’effets physiques et psychologiques associés à la pratique de ces jeux. Dans cet article, nous proposons de revenir sur les liens entre l’Armée américaine et les jeux vidéo de tir à la première personne (FPS), d’abord par l’approche narrato-ludologique reconnue, puis en proposant d’élargir ce cadre théorique par l’approche cybernétique.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".