La contribution du renforcement des capacités et du territoire à l’amélioration de la qualité de vie des aînés: un défi au vieillissement
Notice bibliographique
Résumé
Research Framework: The aging of the population, unprecedented in human history, is a complex reality of the 21st century. This complexity is rooted not only in social and biological, but also in quantitative phenomena. Population aging is in the strict sense a structural effect, an increase in the proportion of the elderly in a given population, while the increase in aged persons is an effect of flux, which quantifies the increase in the number of seniors, those 65 years of age or older (Dumont, 2018a). Although its four main causes (increased life expectancy, decreased number of births, migration, demographic changes) are unanimously accepted by researchers; the manifestations, consequences and responses to aging are far from homogeneous (Breton et Temporal, 2019; Blanchet, 2013; Dumont, 2006; Simard, 2010). Indeed, the consequences of aging differ from one region to another, forcing us to understand population issues in targeted and specific ways, socially, economically and geopolitically (Dumont, 2016a, 2018b; Saillant, 2016; Gucher, 2012; Hodge, 2008). All of society’s institutions are affected by the challenges of an aging population: policies, employment, work, health, family, social security, regional management and development, and even democratic functioning. These diverse issues influence both seniors’ quality of life (Rican et al., 2013) and collaborative and regional governance. Objectives: To identify the main issues and challenges associated with population aging in improving the social inclusion and quality of life of seniors. These issues and challenges relate to seniors' income, accessibility of and proximity to local services, equipment and infrastructure, elder care and workforce planning.Methodology: This article draws on the different contributions in this thematic issue and on the expertise of the three authors. In addition, based on a literature review, we advocate a content analysis, which will be combined with empirical data found mainly, but not exclusively, in various Statistics Canada documents.Results: Most of these issues and challenges originate at the grassroots level, local or regional. However, their implementation requires energetic top-down action, as local and regional leaders, despite their good intentions, do not have all of the required tools and means to address them.Conclusions: A regional policy on aging must be implemented that considers the local and regional characteristics of the environment concerned and the needs expressed by seniors and their families. Thus, environments must be created that are conducive to improving the quality of life and vitality of both the elderly and those around them. In addition, cross-functional gerontological actions must be initiated that involve partnering with both endogenous and exogenous stakeholders, and that consider the regional diversity of aging. The objective is to ensure that people remain active in society as they age – a prerequisite for preserving their health.Contribution: From an academic viewpoint, our presentation, like that of other authors in this issue, is based on three closely interrelated endogenous models. These are capacity building and empowerment of stakeholders, collaborative governance, and progressive local development. Although these different models are effective channels for stimulating local initiatives, and in particular social innovations that bring about social change, they do not address the multiple challenges associated with active and healthy aging, which require cross-functional interventions rolled out at the regional level.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».