The Sustainable City, Myth or Possibility, as seen through the eyes of the citizens and the lens of wellbeing
Notice bibliographique
Résumé
This paper addresses the question of barriers and enablers to community-based climate action as seen through the eyes of residents in the community. The sample community is Stratford, Ontario. 32 persons in Stratford were interviewed in individual, private conversations and were asked to answer 10 questions. The responses of the participants revealed concerns analogous to those found in various wellbeing frameworks. To provide background for the feedback from community interviewees the paper explores the context of wellbeing, following its historical and theoretical roots to its applications today. The wellbeing story begins with a critique of GDP as a single metric to reflect the condition of society and argues for the application of a wellbeing lens as a tool to better tell us how society is doing overall, including environmental, ecological and social justice issues. The author provides a brief history of the evolution of the concept of wellbeing including the origins and application of hedonic and eudaimonic conceptions of wellbeing as related to sustainability. The position taken is that the eudaimonic aspect is more suited to addressing long term environmental and ecological concerns. Following on from the declaration of the 2015 Paris Climate Accord and the creation of the UN's Sustainable Development Goals, the paper charts the development and application of wellbeing frameworks and concepts in cities, communities and countries around the world, including the Wellbeing Economy Alliance founded in 2018. Wellbeing practices in communities in Canada are surveyed and Canada's wellbeing framework created in 2021, Measuring What Matters: Toward a Quality of Life Strategy for Canada, is introduced. With a focus on wellbeing in cities, the governance structures and challenges in tackling climate action at the municipal level are examined. The application of wellbeing metrics is suggested to give municipalities a picture of how their society and their environs are doing overall, beyond emissions reporting and the silo of GDP-driven economic reporting. Transition practices for cities provide references and tools for the application of wellbeing metrics. The embedded and particular relationship which cities have to Indigenous Peoples is presented with examples from cities in Canada in the light of Indigenous knowledges and practices in the care of people and planet. Cities are reminded of their obligations under the Calls to Action of the Truth and Reconciliation Commission and the requirements for care of lands and waters and cultural traditions under UNDRIP. Methods and summary data are presented in section 3, followed by findings from the 10 questions. The responses are analysed applying wellbeing metrics.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,019 | 0,101 |
| Communication savante | 0,019 | 0,013 |
| Science ouverte | 0,001 | 0,013 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 source (Gemma direct ou Codex distillé), 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 ».