Enjeux économiques et industriels de l’animation pornographique et érotique française
Bibliographic record
Abstract
L’animation pornographique et érotique commerciale semble avoir toujours existé sur les écrans français. Son histoire commence par les films courts d’animation destinés aux maisons closes du début du XXe siècle, en passant par les grands succès commerciaux de longs-métrages dans les années 1970 tels que La Honte de la jungle ou Fritz le chat, jusqu’à la diffusion estivale en 2018 de la série d’animation française Peepoodo and the Super Fuck Friends. Pour autant, cette production subit une marginalisation économique, juridique et morale, limitant sa distribution. À partir d’une rétrospective historique puis d’une étude de cas, cet article se propose d’apporter une première réponse à la question de savoir si une industrie de l’animation pornographique – et non pas seulement un ensemble de contenus cinématographiques et audiovisuels – aurait la possibilité d’exister dans la France des années 2010.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".