Bibliographic record
Abstract
‘Art is always the art of making a world’, affirms Jean-Luc Nancy. Taking into account the philosopher’s recent involvement in two ‘exhibitions’ in which he played an active role, both ‘subject’ and object’ in Trop. Jean-Luc Nancy (Montréal, 2005) and co-commissioner to Le plaisir au dessin (Musée des Beaux-Arts de Lyon, 2007), this article probes into this nuclear formula — art, making, world — at the heart of Nancy’s aesthetic, philosophical and political stand: first, by examining how his thought is grounded in the ‘ cum’, the ‘ avec’, which takes place between art and the world, art as world; second, by assessing how this ‘making’ occurs from within the form of art, through the ‘ forma formans’ or through a methexis remodelling mimêsis at its core; and last, but certainly not least, by showing how this aisthesis is also and foremost political in its very making.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.022 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".