Vassili de Montréal ; suivi de Habitants, habités
Bibliographic record
Abstract
Ce mémoire en recherche-création traite du rapport intime que nous entretenons avec l’espace urbain. À travers la figure de Vassili Béliveau, personnage construit par le discours de ceux qui l’entourent, les habitants d’une rue du quartier Hochelaga-Maisonneuve cherchent à comprendre leur propre place dans la collectivité. Sous la forme de nouvelles enchevêtrées, le récit de Vassili de Montréal jongle avec les faits historiques et la fiction littéraire pour mettre en scène des personnages qui tentent de combattre leur propre insignifiance en rattachant leur histoire à celle, extraordinaire, de Vassili Béliveau. La partie réflexive de ce mémoire, intitulée Habitants, habités, continue d’explorer la manière dont les discours s’entremêlent dans la fabrication du réel. En agençant les théories du langage, les théories sociologiques de la ville et celles, plus récentes, de la neuroscience, cet essai tente de cerner le rapport entre l’écriture et la ville, plus spécifiquement, la façon dont l’espace urbain conditionne les discours, et inversement. \n_____________________________________________________________________________ \nMOTS-CLÉS DE L’AUTEUR : Urbanité, Roman, Nouvelles, Neurosciences, Ville de Montréal, Phénoménologie de l’espace, Fermaille.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.023 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".