Support, structure formelle et diégèse: typologie des styles de jeu préconisés par les membres de la communauté goréenne de Second Life
Bibliographic record
Abstract
Cet article porte sur les strategies ettactiques mises en œuvre par les joueurs dans le cadre des jeux de roleparticipatifs en environnement virtuel (JRPEV) goreens organises dans Second Life. Ces jeux constituent unetransfictionnalisation des romans de science-fiction The Chronicles of Gor, de John Norman. Cinq types d’actions strategiques et tactiques ont ete mis aujour qui rendent compte des procedes par lesquels les joueurs tentent depromouvoir, voire d’imposer le style de jeu qu’ils preconisent. Ces cinq typessont l’acculturation et les modes sociotechnique, legal, architectural etscenaristique de circonscription du champ de l’action videoludique. Cesstrategies et tactiques mobilisent l’ensemble des niveaux constitutifs du jeuet de l’experience videoludique du joueur : son monde social, les lieuxpropres au jeu extrinseque (forums, blogues, etc.) ainsi que la structureformelle et la diegese du jeu.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".