Bibliographic record
Abstract
Alors que les romans du cycle Soifs de Marie-Claire Blais multiplient les échos à des événements actuels, il s’agira d’analyser en quoi le présent d’énonciation fait l’objet d’un « double endettement ». Ainsi, cet article se propose d’analyser, dans un premier temps, la polyphonie propre aux romans du cycle à partir de la notion de « pluralité », repérable avant tout en puissance, avant de s’attarder au motif de la Loi qui, par sa position stratégique au sein du cycle, permet d’articuler une vision de l’histoire comme délai et de faire entendre l’urgence d’un appel à son interruption. Dès lors, la « mémoire du présent » que le cycle Soifs met en oeuvre, avec sa constante intrication des différentes modalités du temps, cerne une capacité à recevoir l’actualité des événements à partir des exigences léguées par ce qui n’a toujours pas trouvé sa résolution.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.035 | 0.004 |
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".