Bibliographic record
Abstract
Le present ouvrage montre la diversite qui caracterise Montreal, diversite qui a travers les annees s’est transposee dans la morphologie meme des quartiers, si bien que certaines collectivites y ont developpe une identite distincte, assumee par leurs residents et reconnue socialement et institutionnellement. Des formes specifiques de leadership et de gouvernance y chapeautent aujourd’hui des agencements generes par l’attachement au lieu. Le Quartier chinois, la Cite du multimedia, la Cite des arts du cirque et le Village gai beneficient d’une personnalite affirmee et reconnue institutionnellement. Le Mile End et le Plateau-Mont-Royal sont devenus des icones revelateurs de collectivites a la recherche d’un mode de vie specifique. Rosemont, a travers le Technopole Angus, et le Sud-Ouest, a travers le Canal de Lachine, temoignent des trajectoires de la reconversion d’anciens espaces industriels qui ont vecu une profonde crise dans les annees 1980. Le Quartier des spectacles et le Quartier de l’innovation donnent a voir des strategies de branding international traversees par des enjeux economiques et sociaux. La Petite-Patrie et le quartier Parc-Extension rendent visibles les defis de gouvernance que represente la mise en place de relais adequats entre population et classe politique. L’existence de ces quartiers et leur affichage public montrent les marques d’une ville heterogene qui prend la forme d’une collection urbaine bigarree, sans etre pour autant chaotique. Cette specificite identitaire des quartiers constitue une des richesses de Montreal que ce livre cherche a decrire et a analyser.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.085 | 0.005 |
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".