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This article asks whether volunteering by refugees and asylum seekers holds potential to foster collective resistance to the British state’s increasingly punitive asylum policies. It draws on research that included four organizational case studies and in-depth qualitative interviews with refugees and asylum seekers volunteering in a city in Northern England, and analyses this data using inter-related concepts of contradiction, hegemony and social capital. This research found that volunteering by refugees and asylum seekers had potential to contribute to cohesive social blocs that might form a basis for resistance, yet also exhibited tendencies to divide refugees and encourage individualized forms of action, which reinforced a subordinate position for the majority. The article concludes that realizing the potential of voluntary activity as a basis for collective resistance to the state’s asylum policies may require it to be combined with political education and organization.
L400, Volunteers, volunteering, & voluntarism, L300, Asylum seekers, Marxism, L500, Social Capital, Volunteerism, Volunteers, volunteering, & voluntarism
L400, Volunteers, volunteering, & voluntarism, L300, Asylum seekers, Marxism, L500, Social Capital, Volunteerism, Volunteers, volunteering, & voluntarism
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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