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Feast, Famine or Fighting? pp 459–478Cite as

Multiple Pathways to Large-Scale Human Cooperative Networks: A Reframing

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Part of the book series: Studies in Human Ecology and Adaptation ((STHE,volume 8))

Abstract

Humans have the remarkable ability to cooperate in large aggregations and networks, but the forms that such sociality takes are highly variable. Likewise, human cooperation is neither unconditional nor unchanging, but rather contingent. Given these complexities, social scientists have argued and puzzled for centuries concerning the best ways to account for human cooperation , often carving out discrete disciplinary niches and lenses that inhibit dialogue across the geographic, temporal, and empirical contexts that they each endeavor to understand. Here, transdisciplinary, multiscalar frames that draw from a range of academic fields are advanced to guide exploration of comparative dynamics and variability in human cooperative formations. Most specifically, empirically grounded models of collective action are employed as a basis to compare and contrast the suite of cases presented in this volume.

Paper prepared for Feast, Famine, or Fighting? Multiple Pathways to Social Complexity, edited by Richard J. Chacon and Rubén G. Mendoza.

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Acknowledgments

I wish to thank Richard J. Chacon and Rubén G. Mendoza for inviting my participation in this enterprise. I acknowledge each of the volume participants for their thoughtful, clear, and empirically rich contributions.

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  1. Integrative Research Center, Field Museum of Natural History, Chicago, IL, 60605, USA

    Gary M. Feinman

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  1. Soc & Anth Dept, Winthrop University Soc & Anth Dept, Rock Hill, South Carolina, USA

    Richard J. Chacon

  2. Social, Behavioral and Global Studies, CSU Monterey Bay Social, Behavioral and Global Studies, Seaside, California, USA

    Rubén G. Mendoza

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Feinman, G.M. (2017). Multiple Pathways to Large-Scale Human Cooperative Networks: A Reframing. In: Chacon, R., Mendoza, R. (eds) Feast, Famine or Fighting?. Studies in Human Ecology and Adaptation, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-48402-0_17

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