Bibliographic record
Abstract
Selon la critique, Gabrielle Roy est loin d’etre une theoricienne au sens strict du terme. Or, dans ses textes dits « autobiographiques » et « semi-autobiographiques » ainsi que dans son roman, La montagne secrete, il existe une forme d’art poetique que A. Kibedi Varga qualifie d’ « “art poetique indirect”, un discours pictural qui fonctionne comme metadiscours poetique ». Un releve de ce type de metatexte dans l’ecriture de Roy montrera que l’art de la description est le fruit d’un long apprentissage au cours duquel le descripteur parvient eventuellement a formuler une poetique. Cette poetique, qui cherche a extraire l’« insaisissable essentiel » de l’objet dans une mise en distance du reel tout en laissant a l’imagination creatrice le soin de trier les elements, n’exclut pas pour autant la necessite de l’activite meme de selection. Celle-ci incarne le fruit du dilemme fondamental qui se pose a tout descripteur, soit le degre de vraisemblance devant etre accorder a la representation du modele.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".