Identité urbaine, reconversion industrielle et dynamique territoriale à Montréal : le cas d’Hochelaga-Maisonneuve
Bibliographic record
Abstract
Les villes américaines comme européennes ont expérimenté à l’ère postindustrielle de profonds remaniements économiques et spatiaux. Dans les années 1970, ces villes ont connu une désindustrialisation transformant les quartiers comme Hochelaga-Maisonneuve à Montréal en des zones de pauvreté abandonnées par les industries. Dans les quinze dernières années plusieurs tentatives de reconversion par le tourisme culturel ou les activités festives ont été mises sur pied dans le quartier. Cet article est l’occasion de présenter le quartier Hochela-Maisonneuve ainsi que les différents essais pour le requalifier. Nous essayons de comprendre les raisons pour lesquelles toutes ses interventions furent vaines malgré la détermination et les réalisations des différents acteurs francophones.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".