Entre réplicateurs historiques et stratégies marketing : l’Antiquité et le Moyen Âge sur les boîtes de jeux de société
Bibliographic record
Abstract
Les concepteurs de jeux de société, dont la production augmente ces dernières années en quantité comme en diversité de manière exponentielle, utilisent largement l’histoire pour vendre leurs produits, ce dont témoignent en premier lieu les couvertures des boîtes. Répondant à un double – et contradictoire – impératif de familiarité et d’originalité, ces boîtes reprennent et travaillent des imaginaires historiques déjà bien connus du grand public en les adaptant aux spécificités du média ludique. Pour analyser ce phénomène, nous nous concentrons sur les jeux à thèmes antique et médiéval pour souligner à la fois les différences de traitement entre les deux périodes et la construction progressive de modèles aujourd’hui quasiment incontournables.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".