Défense, négociation et subversion de la thèse de l’ordre naturel dans les jeux de rôle participatifs en environnement virtuel : Le cas de la communauté goréenne de Second Life
Bibliographic record
Abstract
Cet article porte sur les strategies et tactiques mises en œuvre par les joueurs dans le cadre des jeux de role participatifs en environnement virtuel (JRPEV) goreens organises dans Second Life, qualifies de « jeux a these subvertie » et constituant une transfictionnalisation des romans de science-fiction The Chronicles of Gor, de John Norman. Sept types d’actions strategiques et tactiques ont ete mises au jour, soit la cloture hermeneutique, la cloture sociotechnique, la cloture legale, la cloture narrative, la cloture scenaristique, l’acculturation formelle et l’acculturation informelle, reposant toutes sur le concept de « signification privilegiee », de Stuart Hall (1989), et de « cloture discursive », de Stanlez Deetz (1991). Ces strategies et tactiques sont alimentees par des textes exogenes que les joueurs font circuler dans l’ecosysteme transtextuel goreen, des intertextes aux metatextes, en passant par les para-, hyper-, auto- et archi- textes.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.031 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".