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Models of Cultural Niche Construction with Selection and Assortative Mating

Overview of attention for article published in PLOS ONE, August 2012
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Title
Models of Cultural Niche Construction with Selection and Assortative Mating
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042744
Pubmed ID
Authors

Nicole Creanza, Laurel Fogarty, Marcus W. Feldman

Abstract

Niche construction is a process through which organisms modify their environment and, as a result, alter the selection pressures on themselves and other species. In cultural niche construction, one or more cultural traits can influence the evolution of other cultural or biological traits by affecting the social environment in which the latter traits may evolve. Cultural niche construction may include either gene-culture or culture-culture interactions. Here we develop a model of this process and suggest some applications of this model. We examine the interactions between cultural transmission, selection, and assorting, paying particular attention to the complexities that arise when selection and assorting are both present, in which case stable polymorphisms of all cultural phenotypes are possible. We compare our model to a recent model for the joint evolution of religion and fertility and discuss other potential applications of cultural niche construction theory, including the evolution and maintenance of large-scale human conflict and the relationship between sex ratio bias and marriage customs. The evolutionary framework we introduce begins to address complexities that arise in the quantitative analysis of multiple interacting cultural traits.

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Geographical breakdown

Country Count As %
United Kingdom 4 4%
United States 2 2%
Luxembourg 1 <1%
Vietnam 1 <1%
Unknown 100 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Researcher 21 19%
Student > Bachelor 14 13%
Professor 11 10%
Student > Master 10 9%
Other 19 18%
Unknown 10 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 35%
Psychology 11 10%
Social Sciences 11 10%
Biochemistry, Genetics and Molecular Biology 4 4%
Economics, Econometrics and Finance 3 3%
Other 22 20%
Unknown 19 18%