ἦθος, éthè intrinsèque et extrinsèque, éthos transformatif : l’éthogramme de l’ordre naturel dans les jeux de rôle goréens de Second Life
Bibliographic record
Abstract
Cet article abordera le concept d’éthos tel qu’il s’illustre dans les jeux de rôle goréens de Second Life, dans la lignée de la rhétorique procédurale d’Ian Bogost et de l’éthos ludique de Sébastien Genvo. Il sera entendu comme le garant de la conformité des jeux goréens avec une doctrine appelée la « loi de l’ordre naturel ». Une analyse des éthè intrinsèque et extrinsèque des jeux goréens sera proposée à l’aide d’un éthogramme focalisant sur l’image du guerrier et de l’esclave.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".