Défusion municipale et décentralisation à Montréal : vers une recomposition des relations entre les groupes ethnoculturels et la municipalité
Bibliographic record
Abstract
Résumé. Ces dernières années, la métropole montréalaise a connu un ensemble de dynamiques institutionnelles qui ont remis en question l'équilibre des relations entre les municipalités constituantes. Les institutions ont été fortement ébranlées par un double processus de fusion puis de défusion. Cherchant à contrecarrer les aspirations des municipalités “ défusionnistes ”, le gouvernement provincial a promulgué la Loi 33 qui transfère de nombreuses compétences de la mairie centrale aux arrondissements. Au-delà des nouvelles dynamiques politiques entre ces deux niveaux de gouvernement, c'est aussi le processus d'articulation entre la sphère politique municipale et la société civile montréalaise qui est en jeu. Cet article examine les impacts de la Loi 33 sur les relations entre la municipalité et les communautés ethnoculturelles en attirant l'attention sur une tendance à l'hyperpluralisation et à l'ethnicisation des demandes issues de certains groupes immigrants récemment implantés à Montréal. Abstract. The urban region of Montreal has recently faced institutional dynamics which have transformed the relations between the municipalities. Local institutions had to adapt to a double process of merging and demerging. In order to limit the process of secessionism, the provincial government voted Bylaw 33 which transferred many resources and competences to neighbourhoods. Beyond the new division of labour between the two levels of government, this law is changing the relationships between the civil society and the political realm. This article aims at analyzing the impacts of Bylaw 33 on the relationships between the municipality and immigrant groups by arguing that we are facing a trend to hyperpluralism due to the strategies of leaders representing immigrant groups recently settled in Montreal.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".