Arrêtez de pleuvoir, nouvelles suivi de, Le personnage de nouvelles: prisonnier de son espace? (with Original writing, Sylvie Massicotte, Jean Pierre Girard)
Bibliographic record
Abstract
Le présent mémoire se divise en deux volets, le premier contenant un recueil de nouvelles intitulé Arrêtez de pleuvoir et le deuxième, un essai intitulé Le personnage de nouvelles: prisonnier de son espace? Marie-Claude Audet explore ainsi la question précédemment soulevée autant par la pratique de l'écriture nouvellière que par une analyse de nouvelles tirées de deux écrivains québécois, soit Sylvie Massicotte et Jean Pierre Girard. Elle observe les rôles que jouent les protagonistes du genre narratif bref en créant une méthode d'analyse adaptée à la nouvelle. Les limites textuelles du genre en question étant dominantes, elle réussit à démontrer comment le personnage devient prisonnier de son cadre existentiel. Enfin, dans le dernier chapitre, elle revient sur ses propres stratégies narratives qui lui ont (ou auraient) permis de créer des personnages agents plutôt que patients, termes qu'elle utilise pour définir le personnage de la nouvelle québécoise et contemporaine.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.014 |
| Scholarly communication | 0.007 | 0.004 |
| 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".