La gouvernance collaborative comme un prisme conceptuel pour comprendre le programme Ville-amie des aînés au Québec : Étude de quatre cas contrastés
Bibliographic record
Abstract
La population canadienne est vieillissante et les politiciens, tant sur les scenes federale et provinciale que dans les municipalites, cherchent a relever les enjeux qui y sont associes. Depuis 2007, il est apparu dans le paysage des politiques sociales une nouvelle initiative promue par l’Organisation mondiale de la sante : la Ville-amie des aines. Au Canada, il est possible de retrouver des programmes Ville-amie des aines dans toutes les provinces. Le Quebec compte plus de 900 initiatives ; cela signifie que 90 % des habitants du Quebec vivent dans une municipalite qui a entrepris un processus pour devenir « amis des aines ». Nous examinerons ce programme au Quebec a partir des resultats provenant d’une etude qui a ete financee par les Instituts de recherche en sante du Canada. A partir d’un devis mixte autour de quatre etudes de cas contrastes de la region de la Monteregie au Quebec, notre article propose d’illustrer le processus de collaboration au sein des Villes-amies des aines en prenant assise sur le modele conceptuel d’Ansell et Gash (2008) concernant la gouvernance collaborative. Les resultats de l’etude montrent les differentes categories conceptuelles du modele qui s’appliquent aux Villes-amies des aines : les conditions initiales, le leadership, les regles et les protocoles institues, de meme que le processus circulaire de la gouvernance collaborative. Bien que la gouvernance collaborative au sein des Villes-amies des aines presente plusieurs enjeux, elle devient aussi, a travers le comite de pilotage de ce programme, une opportunite pour les acteurs locaux et regionaux d’agir sur le vieillissement de la population.AbstractCanada’s population is aging and politicians at the federal, provincial and municipal levels are trying to address the associated issues. Since 2007, a new initiative promoted by the World Health Organization has entered the social policy landscape: the Age-friendly City. In Canada, Age-friendly City programs can be found in all the provinces. Quebec has more than 900 initiatives, and 90% of Quebec residents live in a municipality that has begun the process of becoming “age-friendly”. This paper will examine this program in Quebec using the results of a study funded by the Canadian Institutes of Health Research. Based on a mixed method of four contrasting case studies in Quebec’s Monteregie region, our paper intends to illustrate the main stages (the consultation, action plan and implementation) of the Age-friendly city program in Quebec using Ansell and Gash’s (2008) conceptual model of collaborative governance. The results show how the different conceptual categories apply to Age-friendly Cities: starting conditions, facilitative leadership, institutional design, and cyclical collaborative process. Although several challenges can be associated with collaborative governance in Age-friendly cities, it can also become, through the steering committee for this program, an opportunity for the local and regional actors to address the aging of the population.Keywords: Age-friendly Cities; collaborative governance; case study; aging
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".