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      The ecology of wealth inequality in animal societies

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          Abstract

          Individuals vary in their access to resources, social connections and phenotypic traits, and a central goal of evolutionary biology is to understand how this variation arises and influences fitness. Parallel research on humans has focused on the causes and consequences of variation in material possessions, opportunity and health. Central to both fields of study is that unequal distribution of wealth is an important component of social structure that drives variation in relevant outcomes. Here, we advance a research framework and agenda for studying wealth inequality within an ecological and evolutionary context. This ecology of inequality approach presents the opportunity to reintegrate key evolutionary concepts as different dimensions of the link between wealth and fitness by (i) developing measures of wealth and inequality as taxonomically broad features of societies, (ii) considering how feedback loops link inequality to individual and societal outcomes, (iii) exploring the ecological and evolutionary underpinnings of what makes some societies more unequal than others, and (iv) studying the long-term dynamics of inequality as a central component of social evolution. We hope that this framework will facilitate a cohesive understanding of inequality as a widespread biological phenomenon and clarify the role of social systems as central to evolutionary biology.

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          Most cited references148

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          Emergence of Scaling in Random Networks

          Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
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            The Matthew Effect in Science: The reward and communication systems of science are considered.

            R K Merton (1968)
            This account of the Matthew effect is another small exercise in the psychosociological analysis of the workings of science as a social institution. The initial problem is transformed by a shift in theoretical perspective. As originally identified, the Matthew effect was construed in terms of enhancement of the position of already eminent scientists who are given disproportionate credit in cases of collaboration or of independent multiple discoveries. Its significance was thus confined to its implications for the reward system of science. By shifting the angle of vision, we note other possible kinds of consequences, this time for the communication system of science. The Matthew effect may serve to heighten the visibility of contributions to science by scientists of acknowledged standing and to reduce the visibility of contributions by authors who are less well known. We examine the psychosocial conditions and mechanisms underlying this effect and find a correlation between the redundancy function of multiple discoveries and the focalizing function of eminent men of science-a function which is reinforced by the great value these men place upon finding basic problems and by their self-assurance. This self-assurance, which is partly inherent, partly the result of experiences and associations in creative scientific environments, and partly a result of later social validation of their position, encourages them to search out risky but important problems and to highlight the results of their inquiry. A macrosocial version of the Matthew principle is apparently involved in those processes of social selection that currently lead to the concentration of scientific resources and talent (50).
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              Social Conditions As Fundamental Causes of Disease

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Writing – original draftRole: Writing – review & editing
                Journal
                Proc Biol Sci
                Proc Biol Sci
                RSPB
                royprsb
                Proceedings of the Royal Society B: Biological Sciences
                The Royal Society
                0962-8452
                1471-2954
                May 11, 2022
                May 4, 2022
                May 4, 2022
                : 289
                : 1974
                : 20220500
                Affiliations
                [ 1 ] Department of Collective Behaviour, Max Planck Institute of Animal Behaviour, , Konstanz, Germany
                [ 2 ] Centre for the Advanced Study of Collective Behaviour, University of Konstanz, , Konstanz, Germany
                [ 3 ] School of Biological Sciences, University of Nebraska-Lincoln, , Lincoln, NE, USA
                [ 4 ] BEACON Center for the Study of Evolution in Action, Michigan State University, , Lansing, MI, USA
                Author information
                http://orcid.org/0000-0003-3413-1642
                http://orcid.org/0000-0002-0478-6309
                Article
                rspb20220500
                10.1098/rspb.2022.0500
                9065979
                35506231
                11819be8-f263-4128-87a4-f1831699456a
                © 2022 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : March 13, 2022
                : March 23, 2022
                Funding
                Funded by: Alexander von Humboldt-Stiftung, http://dx.doi.org/10.13039/100005156;
                Funded by: University of Nebraska-Lincoln POE;
                Funded by: Office of Integrative Activities, http://dx.doi.org/10.13039/100000106;
                Award ID: 0939454
                Categories
                1001
                14
                60
                70
                Review Articles
                Review Articles
                Custom metadata
                May 11, 2022

                Life sciences
                wealth inequality,niche construction,social evolution,social mobility,intergenerational wealth transmission,status-seeking behaviour

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