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ENGENDERING FORCED MIGRATION

ENGENDERING FORCED MIGRATION

Abstract

At the turn of the new millenium, war, political oppression, desperate poverty, environmental degradation and disasters, and economic underdevelopment are sharply increasing the ranks of the world's twenty million forced migrants. In this volume, eighteen scholars provide a wide-ranging, interdisciplinary look beyond the statistics at the experiences of the women, men, girls, and boys who comprise this global flow, and at the highly gendered forces that frame and affect them. In theorizing gender and forced migration, these authors present a set of descriptively rich, gendered case studies drawn from around the world on topics ranging from international human rights, to the culture of aid, to the complex ways in which women and men envision displacement and resettlement.

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    17
    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).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Average
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