Esthétique et recyclages culturels : Explorations de la culture contemporaine
Bibliographic record
Abstract
De nos jours, artistes et créateurs de toutes orientations, et dans différents champs de production culturelle, ont de plus en plus recours à des procédés impliquant le traitement de matériaux qui sont déjà disponibles dans l'espace culturel : ils créent en recyclant. Grâce aux nouvelles technologies de reproduction des œuvres et de traitement de données, cette modalité de production s'affirme comme une dominante de la culture contemporaine. Comment en rendre compte esthétiquement ? Quel est son impact sur notre expérience esthétique ? En quoi nous oblige-t-elle à repenser concepts et compréhension dans le domaine de l'esthétique. Dans ce livre, un groupe international de dix-huit chercheurs se penche sur cette interface entre esthétique et recyclage culturel et propose des éléments de réponse à ces questions. Ce livre est issu d'un colloque international qui eut lieu en 2001 à Montréal.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".