"It's a sign of deep love and connection": Honouring ecological grief to support wellbeing and mobilize climate action
Notice bibliographique
Résumé
As the ongoing burning of fossil fuels continues to drive ecological destabilization, grief for ecological loss and its wide-ranging impacts on personal and collective life is widespread. Researchers agree that feeling impacted by the tremendous losses produced by climate change and its associated injustices is a reasonable and adaptive response. Bereavement studies have long understood grief as an expression of love and attachment for that which is lost. Similarly, climate grief may connect powerful personal feelings with collective experiences of loss and vulnerability caused by climate change, revealing personal values and shared interests that may inspire climate action. However, the absence of collective practices for honoring ecological grief leads to its “disenfranchisement” by depriving grievers of social scripts, rituals, and community support, and undermining well-being. Despite the prevalence of ecological grief and its generative potential, research investigating the relationship between climate grief, well-being, and engagement with the climate crisis—as well as the impact of interventions that collectively honour and enfranchise climate grief—is limited. To address this gap, this thesis research had four objectives: 1) Characterize the lived-experience of ecological and climate grief; 2) Explore how ecological and climate grief connected to personal values; 3) Examine how ecological and climate grief shaped engagement with the climate crisis; and 4) Investigate the impact of collective practices for honouring and processing climate grief on wellbeing and capacity for climate action. Semi-structured, in-depth interviews were conducted with adults (n = 15) who had attended Refugia Retreats programs in Alberta, Canada where they had engaged in facilitated group practices for sharing and processing climate grief. Interviews were analyzed using reflexive thematic analysis. Results demonstrate that participants’ experiences of ecological grief were indeed fertile sites for ecological, social, and political consciousness raising. Interviewees’ grief revealed interconnections between ecological, personal, and collective vulnerabilities caused by the climate crisis, leading to empathetic concern and solidarity with both human and more-than-human communities. Framing difficult emotions about climate change as grief supported interviewees in destigmatizing their feelings by foregrounding the larger socio-ecological conditions to which their feelings responded while also connecting them to the love and values that underpin difficult emotions. Witnessing both their own and other’s grief transformed some of their heaviest emotional burdens and opened up access to positive experiences such as love, joy, and agency. Because climate change often shaped other forms of loss and difficulty, collective practices for processing climate grief also helped interviewees cope with personal loss. Collectively honouring climate grief enhanced interviewees capacity for positive emotions associated with wellbeing and climate action while also allowing them to practice forms of collectivity that support collective action. This research demonstrated how climate grief connected people with not only the personal, ecological, and collective toll of the climate crisis, but also to their deepest values and longings. Collective practices for honouring climate grief enabled participants to holistically process difficult emotions in ways that contributed to both individual emotional resilience, and capacity for collaborative and sustained action. This thesis contributes to our understanding of the generative potential of ecological grief as a leverage emotion that significantly shapes wellbeing and capacity for meaningful and transformative climate action.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».