Bibliographic record
Abstract
Montréal est au coeur de l’oeuvre romanesque de l’écrivaine québécoise Nelly Arcan. Non seulement la métropole fournit-elle le décor à l’intrigue des quatre romans de l’auteure, mais aussi elle s’émancipe progressivement de sa seule fonction de cadre pour constituer, d’un opus à l’autre, un topos à part entière du récit, inséparable du sort des personnages qui y jouent leur destin. Tour à tour sordide et branchée à travers les quartiers de prédilection fréquentés par la romancière, virtuelle et fantastique dans le passage remarqué de l’autofiction à la science-fiction, la ville désirante mise en scène par Nelly Arcan ne livre pas d’emblée tous ses secrets. C’est en interrogeant les arcanes de l’oeuvre, à la lumière de Montréal interdite d’Alain Médam et de Paris insolite de Jean-Paul Cléber, que la cybermétropole arcanienne révèle sa part insoupçonnée de mystère.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".