Cinéma, nouveaux usages et modes de financement : vers une nécessaire évolution de la chronolgie des médias
Bibliographic record
Abstract
Cette étude a pour objet la chronologie des médias française, et son avenir face aux évolutions technologiques du paysage audiovisuel et cinématographique. Mécanisme de l’exception culturelle, la chronologie des médias est une règle fixant des écarts temporels entre la sortie d’un film en salles et sa diffusion sur d’autres supports : vidéogrammes tels que les DVD et les Blu-rays, vidéo à la demande à l’acte « VàDA », télévision ou encore vidéo à la demande par abonnement « SVOD ». Elle constitue un pilier dans le financement de la production cinématographique française, mais l’apparition de nouveaux acteurs du numérique tels que les plateformes SVOD tendent à progressivement la déséquilibrer. Il convient dès lors de repenser le modèle tout en nous inspirant de modèles étrangers tels que la chronologie canadienne, afin de mieux prendre en compte ces évolutions.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".