Perception of Immigrant Communities on Adaptability to Climate-induced Risks and Disasters: A Study on Turkish-Canadian Immigrants in Calgary
Notice bibliographique
Résumé
Background: Climate change brings uneven implications not only to countries around the world but even to the people living in the same country based on their socio-economic status, access to resources, participation in the decision-making process, and so forth. Climate change affects not only developing countries, but it also affects the developed countries. As a developed country, Canada, especially the Western region of Canada, is observing climate-induced risks and hazards. This Western region is also home to many people with immigrant status, making them more vulnerable. Therefore, this study aims to understand how the immigrant communities (Turkish-Canadian) define the climate change impacts, how they translate their perception to develop adaptation strategies, and whether they take part in the climate decision-making process developed by the City of Calgary. Methods: In this research, we will employ the relational theoretical approach to explore how the Turkish-Canadian communities experience climate risks and disasters and how their socio-cultural knowledge helped them develop adaptation strategies to cope with climate risks and disasters. Through this relational approach, we will conduct 15 in-depth interviews using a non-structured interview guide. The interview will be transcribed into themes and sub-themes, leading to interpretative thematic analysis. Potential Outcomes: The study results show that the vulnerability of Turkish-Canadian communities intensified due to their intersectional positionality, i.e., immigrant status in Calgary and systematic inequality, which limited their access to government-led adaptation policies and resources. The results explore that the members of this community use various adaptive mechanisms to cope with climate-induced risks and disasters. Conclusion: Although there are some studies on immigrant communities and their adaptation challenges, there is a gap in how Turkish-Canadian immigrants perceive climate-induced disasters and the barriers that limit their adaptability to the risks and disasters. Therefore, this study's results will be helpful for researchers and policymakers to develop a holistic approach to fully delineate the climate risks and disasters and minimize structural inequality, increase awareness, build resilience, and engage all the racialized communities in the state-led adaptation strategies.
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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) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| 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 ».