Bibliographic record
Abstract
Le propos de cet article est d’étudier trois incipit de fantasy francophone issus des œuvres de Justine Niogret, Stefan Platteau et Jean-Philippe Jaworski en les envisageant plus spécifiquement dans une modalité de mouvement. Nous verrons que les univers de ces trois auteurs se dévoilent toutefois au lecteur en suivant des types de déplacement bien distincts, qu’il s’agisse d’une émergence progressive concernant Les Sentiers des astres de Platteau, d’une immersion tant géographique que psychologique dans « Mauvaise donne » de Jaworski, ou encore d’un brusque demi-tour savamment orchestré par Niogret dans Chien du heaume. Durant notre analyse, nous tâcherons aussi de porter une attention toute particulière à l’emploi des topoï dans ces incipit, tels que ceux du seuil, de l’éveil, du regard et de la violence dès l’orée du texte.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".