Bibliographic record
Abstract
Cet article propose d’observer comment certains créateurs de la scène contemporaine travaillent à maintenir leur oeuvre dans un informe, un « à venir » (Blanchot, 1959), qui ouvre un champ illimité de constructions fictionnelles. Selon l’hypothèse défendue, par le recours au procédé de minoration (Deleuze, 1979), qui consiste à affaiblir ou à retirer volontairement un ou des éléments constituants de l’oeuvre, les trois oeuvres étudiées appelleraient une participation plus active du spectateur dans sa réception. Blind Cinema (2015), de Britt Hatzius, s’appuie sur un principe de masquage. The Pyre (2013), de Gisèle Vienne, retire le texte de la représentation pour enfouir la fiction dans les corps des interprètes. La chambre sonore de la maladie de la mort (2018), de L’eau du bain, parie sur une écriture scénique au conditionnel qui s’interdit d’affirmer un récit.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".