Diversification des populations dans la région de Montréal: de nouveaux défis de la gestion urbaine
Bibliographic record
Abstract
Sommaire: Certaines organisations municipales s'efforcent de mieux répondre aux nouveaux besoins associés aux transformations de la population métropolitaine. Une perspective de meilleures pratiques face aux nouveaux défis de la gestion urbaine se dessine progressivement pour les banlieues et anciennes banlieues des villes situées dans les différentes couronnes au Nord et au Sud de Montréal. Après un bref aperçu des transformations de la population, nous examinons les groupes susceptibles d'avoir des besoins particuliers. S'ensuivent un exposé des types d'interventions entreprises par les municipalités québécoises dans ces domaines, puis les objectifs de recherche ainsi que la méthodologie. Finalernent, nous présentons les résultats à partir de l'analyse des données recueillies dans dix‐sept municipalités de plus de 3 000 habitants, excluant la Ville de Montréal. Nous avons retenu quatre variables: population immigrante, minorités visibles, familles monoparentales et familles à faible revenu. Les municipalités retenues se situent à un niveau élevé pour l'un ou l'autre de ces fadeurs ou encore pour leur combinaison. Il n'y a pas forcément de liens entre la forte présence des divers sous‐groupes et l'existence de politiques et programmes. Un phénomèe intéressant se présente quant à la présence de politiques pour les personnes âgées car la majorité des municipalités font preuve d'innovation à cet égard. Abstract: Some municipalities are adopting initiatives designed to better respond to needs associated with the changing composition of the urban population. This research aims to identify “best practices” of municipal administration in the suburban ring around Montreal, in particular with respect to the development of programs and policies designed to accommodate emerging populations with special needs. After a brief presentation of the changing demographics of such populations, the authors examine in greater detail specific groups that require special attention. They then present the different types of initiatives developed by Quebec municipalities to respond to identified needs discuss the objectives and methods of their research. They analyse data collected in seventeen municipalities in the Montreal area that have at least 3,000 residents, excluding the City of Montreal. Research focuses on four types of sub‐populations: immigrants, visible minorities, single‐parent families, and low‐income families. All of the municipalities included in our study have a higher than average incidence of one or more of these sub‐populations. Data does not reveal a strong relationship between municipal initiatives and the presence of the different sub‐groups. On the other hand, nearly all municipalities have developed initiatives to respond to the increasing presence of the elderly.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".