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Diplomacy on IceEnergy and the Environment in the Arctic and Antarctic$
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Rebecca Pincus and Saleem H. Ali

Print publication date: 2015

Print ISBN-13: 9780300205169

Published to Yale Scholarship Online: May 2015

DOI: 10.12987/yale/9780300205169.001.0001

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PRINTED FROM YALE SCHOLARSHIP ONLINE (www.yale.universitypressscholarship.com). (c) Copyright Yale University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in YSO for personal use.date: 24 June 2021

Cooperative Food Sharing in Sheshatshiu: Uncovering Scenarios to Support the Emergent Capacity of Northern Communities

Cooperative Food Sharing in Sheshatshiu: Uncovering Scenarios to Support the Emergent Capacity of Northern Communities

Chapter:
(p.186) 12. Cooperative Food Sharing in Sheshatshiu: Uncovering Scenarios to Support the Emergent Capacity of Northern Communities
Source:
Diplomacy on Ice
Author(s):

Damián Castro

Glen Lesins

Rachel Hirsch

Kaz Higuchi

Publisher:
Yale University Press
DOI:10.12987/yale/9780300205169.003.0013

Large-scale events, such as intensified resource extraction and climate change, are affecting traditional livelihoods in northern communities by disrupting country food harvesting and distribution practices. These changes have significant and disruptive impacts for the socioeconomic and cultural activities of these communities. This chapter will explore possible adaptive strategies for building community resiliency by modeling scenarios of cooperative food sharing identified through ethnographic fieldwork in the community of Sheshatshiu. An agent-based modeling approach is used to simulate the impact of household and community-level rules of food sharing. Results indicate that agents operating at the community-level distribute food more evenly. This suggests that policies promoting large-scale (or up-scaling of) cooperation may also increase the capacity of northern communities to build healthy food sharing economies.

Keywords:   climate change, Arctic, community resilience, food harvesting and distribution, agent-based modeling

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