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Shrinking Communities Handbook A guide to developing strategies for shrinking communities in Canada

2018· dissertation· en· W7034038411 sur OpenAlexaboutno aff

Notice bibliographique

RevueeScholarship@McGill (McGill) · 2018
Typedissertation
Langueen
DomaineMedicine
ThématiqueMedical Education and Admissions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésResizingWork (physics)Government (linguistics)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

"This report provides a foundation for the development of strategies to addressing urban shrinkage in Canadian communities, primarily small and medium-sized communities located outside of metropolitan areas. The purpose of this report is to enhance a common understanding of the issue of urban shrinkage in Canada, and to review approaches and strategies for Canadian communities to address the issue in a practical, responsive, and responsible manner. This is accomplished in three parts: first, an introduction to shrinkage; second, a discussion of approaches to addressing shrinkage; and third, the identification of guiding principles for the development of strategies in individual Canadian communities. The intended audience for this report are those people engaged in the process of planning for shrinking communities including elected officials, municipal staff, and members of the general public. As a concept shrinkage involves a number of components including population loss, as well as other economic, spatial, and political processes. It’s shaped by a number of factors including scale (i.e. whether the shrinkage is occurring at a local level only or a regional level) as well as by local context (i.e. history, geography, demography, governance, etc.). It’s cyclical and self-reinforcing nature are also hallmarks. With regard to the causes and effects of shrinkage, there are many. Globalisation, suburbanisation, political transition, declining birth rates, changes to the labour market, and environmental calamities are all noted causes of shrinkage, while building vacancies and abandonment, reduced economic output, reduced municipal revenues, and socio-economic decline are all noted effects. The issue of urban shrinkage has been steadily growing in Canada, adversely impacting communities located in rural and remote areas of the country, while evidence is growing that populated and industrialized areas of the country are beginning to show signs of shrinkage as well. While the issue has often been studied at an urban system’s level, the research on community-level solutions and strategies for Canadian communities has been lacking. In Canada, a country whose urban system has long been characterised by a dichotomy between the urban / industrial heartland and the rural / resource-based hinterland, government intervention in the form or regional development programmes was a key factor in keeping shrinkage at bay in the disadvantaged hinterland. However, the demise of regional development programmes by the mid 1980s, compounded with a shifting and globalising economy, and an aging population have created a polarised urban system. The nature of this system is key to understanding how to appropriately develop strategies and plans for shrinking communities. Approaches and strategies to address shrinkage fall into one of two categories. Firstly, growth-centric conventional approaches, such as culture-led regeneration schemes, land banks, tactical urbanism, and beautification programmes which attempt to restore a community to its ‘natural’ growing state. Secondly, are new approaches that seek to develop a new paradigm to address the issue, recognising that many communities will not practically return to a state of growth. These communities require alternative paths to address the challenges of shrinkage. These strategies include the use of green infrastructure, localism, and the concept of smart-decline or right-sizing to address the issue. To develop your own community’s strategy involves a synthesis of the research carried out in this report. To that end five guiding principles have been identified and discussed: • Being placed-based and context specific; • Taking the long view; • Integrating local and regional planning; • Being flexible and strategic; and, • Engaging and building consensus. These principles are intended to provide communities with a basis to develop their own strategy on a foundation of both research and practice. The report concludes with the identification of next steps in the process, namely the development of a planning framework to address the issue and a call to re-examine how we view shrinkage, not necessarily in terms of challenges and scarcity, but in terms of opportunities and surplus, as new approaches and alternative perspectives will be key to identifying workable solutions"@eng

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,103
Score d'incertitude au seuil0,746

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0060,011
Études des sciences et des technologies0,0180,003
Communication savante0,0080,004
Science ouverte0,0030,003
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,0720,009

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,046
Tête enseignante GPT0,325
Écart entre enseignants0,279 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentnon

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