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Pathways to social inequality.
Haynie, Hannah J; Kavanagh, Patrick H; Jordan, Fiona M; Ember, Carol R; Gray, Russell D; Greenhill, Simon J; Kirby, Kathryn R; Kushnick, Geoff; Low, Bobbi S; Tuff, Ty; Vilela, Bruno; Botero, Carlos A; Gavin, Michael C.
Afiliação
  • Haynie HJ; Department of Linguistics, University of Colorado, Boulder, CO, USA.
  • Kavanagh PH; Department of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, CO, USA.
  • Jordan FM; Department of Anthropology and Archaeology, University of Bristol, Bristol, UK.
  • Ember CR; Human Relations Area Files, Yale University, New Haven, CT, USA.
  • Gray RD; Department of Linguistic and Cultural Evolution, Max Planck Institute for The Science of Human History, Jena, Germany.
  • Greenhill SJ; Department of Linguistic and Cultural Evolution, Max Planck Institute for The Science of Human History, Jena, Germany.
  • Kirby KR; ARC Centre of Excellence for the Dynamics of Language, Australian National University, Canberra, ACT, Australia.
  • Kushnick G; Department of Linguistic and Cultural Evolution, Max Planck Institute for The Science of Human History, Jena, Germany.
  • Low BS; Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada.
  • Tuff T; School of Archaeology and Anthropology, Australian National University, Canberra, ACT, Australia.
  • Vilela B; School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA.
  • Botero CA; Department of Biology, McGill University, Montreal, QC, Canada.
  • Gavin MC; Institute of Biology, Universidade Federal da Bahia, Salvador, BA, Brazil.
Evol Hum Sci ; 3: e35, 2021.
Article em En | MEDLINE | ID: mdl-37588531
ABSTRACT
Social inequality is ubiquitous in contemporary human societies, and has deleterious social and ecological impacts. However, the factors that shape the emergence and maintenance of inequality remain widely debated. Here we conduct a global analysis of pathways to inequality by comparing 408 non-industrial societies in the anthropological record (described largely between 1860 and 1960) that vary in degree of inequality. We apply structural equation modelling to open-access environmental and ethnographic data and explore two alternative models varying in the links among factors proposed by prior literature, including environmental conditions, resource intensification, wealth transmission, population size and a well-documented form of inequality social class hierarchies. We found support for a model in which the probability of social class hierarchies is associated directly with increases in population size, the propensity to use intensive agriculture and domesticated large mammals, unigeniture inheritance of real property and hereditary political succession. We suggest that influence of environmental variables on inequality is mediated by measures of resource intensification, which, in turn, may influence inequality directly or indirectly via effects on wealth transmission variables. Overall, we conclude that in our analysis a complex network of effects are associated with social class hierarchies.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2021 Tipo de documento: Article