Community response in disasters
An ecological learning framework
Dados Bibliográficos
| ID | 11424828 |
|---|---|
| Autores | John Preston (0000-0003-1219-4108, University of East London, autor correspondente), Charlotte Chadderton (0000-0001-6022-6931, University of East London), Kaori Kitagawa (0000-0003-0574-6920, University of East London), Casey Edmonds (0000-0003-3657-8392, University of East London) |
| Ano | 2015 |
| Volume | 34 |
| Fascículo | 6 |
| Páginas | 727-753 |
| Data de publicação | 2015-11-02 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | International Journal of Lifelong Education (JOURNAL) |
| Identificadores do periódico | ISSN: 0260-1370 • E-ISSN: 1464-519X |
| Editora | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/02601370.2015.1116116 |
| OpenAlex | W2237226762 |
| Idioma | EN |
| Citações recebidas | 19 |
| Referências citadas | 22 |
Natural disasters are frequently exacerbated by anthropogenic mechanisms and have social and political consequences for communities. The role of community learning in disasters is seen to be increasingly important. However, the ways in which such learning unfolds in a disaster can differ substantially from case to case. This article uses a comparative case study methodology to examine catastrophes and major disasters from five countries (Japan, New Zealand, the UK, the USA and Germany) to consider how community learning and adaptation occurs. An ecological model of learning is considered, where community learning is of small loop (adaptive, incremental, experimental) type or large loop (paradigm changing) type. Using this model, we consider that there are three types of community learning that occur in disasters (navigation, organization, reframing). The type of community learning that actually develops in a disaster depends upon a range of social factors such as stress and trauma, civic innovation and coercion
Coercion (linguistics · Cognitive reframing · Community organization · Geography · Learning community · Natural disaster · Pedagogy · Political science · Public relations · Social learning · Sociology · Disaster Management and Resilience · Disaster Response and Management · Psychology · Social Psychology · Ecology
Temporality, emotion management and emergency governance in housing safety crises
The obstacles hierarchy of school disaster preparedness implementation in Mount Sinabung area, Indonesia
Conceptualising ‘Disaster Education’
Ecosystem-based disaster management in the coastal zone
‘Resurrection’ of a flood action group through co-learning
Communication technology support in disaster-prone areas
Identifying the influence of disaster education on the risk perception of rural residents in geohazard-prone areas
What influences panic buying behaviour? A model based on dual-system theory and stimulus-organism-response framework
Higher education institutions catalyzing climate action
Botswana’s response to the outbreak of the Coronavirus (Covid-19)
From "It Has Stopped Our Lives" to "Spending More Time Together Has Strengthened Bonds
Response to the Covid-19 Outbreak in Urban Settings in China
Questioning ‘integrated’ disaster risk reduction and ‘all of society’ engagement
Exploring civic engagement dynamics during emergencies
Lifelong learning from natural disasters
Learning cities and implications for adult education research
Disaster preparedness, adaptive politics and lifelong learning
Community resilience and continuous challenges
Circular Migration, Resilience, Suffering, and Trauma
The Ecology of Human Development
Disaster Education
Education, Equality and Social Cohesion
Comparative-Historical Methods
Seeking Higher Ground
Community Resilience and Environmental Transitions
Emotions, Trust, and Perceived Risk
Albert Camus
The ‘state of exception’ and disaster education
From Aberfan to the ‘Canvey Factor’
Social Structure and Personality Development
Anticipatory Learning for Climate Change Adaptation and Resilience
Steps to an Ecology of Mind
A Practical Iterative Framework for Qualitative Data Analysis
| Obras citantes distintas | 19 |
|---|---|
| Citações por ano | 1,9 |
| Intervalo de citações | 2016 - 2026 (11) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 18 |