Déjouer : imaginaires de la fiction romanesque dans Les failles de l’Amérique et L’acquittement
Bibliographic record
Abstract
Cet article s’intéresse à deux romans (Les failles de l’Amérique de Bertrand Gervais et L’acquittement de Gaétan Soucy) qui cherchent à déjouer l’activité lecturale en mettant sur pied des univers fictionnels qui ne semblent se déployer que pour mieux se désagréger. Par l’analyse de ces étranges dispositifs, on veut montrer que ces pratiques littéraires, qui donnent de prime abord l’impression de refuser le jeu fictionnel, finissent en bout de ligne par le réaffirmer en proposant de la fiction romanesque une conception qui met l’accent sur un principe de prolifération des univers et des individus, hors de toute nécessité de cohérence. Ces romans font ainsi une règle normative du jeu fictionnel; cependant, ils posent le principe de prolifération comme règle constitutive. Si ces romans « déjouent », ce n’est donc pas sans enjeu.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.031 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".