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Reconciling material cultures in archaeology with genetic data requires robust cultural evolutionary taxonomies

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  • Felix Riede

    (Aarhus University)

  • Christian Hoggard

    (Aarhus University)

  • Stephen Shennan

    (University College London)

Abstract

The analysis of ancient genomes is having a major impact on archaeological interpretations. Yet, the methodological divide between these disciplines is substantial. Fundamentally, there is an urgent need to reconcile archaeological and genetic taxonomies. However, traditional archaeological taxonomies are problematic because they are epistemologically weak and often laden with undue assumptions about past ethnicity and demography—they are a hindrance rather than a help in such a reconciliation. Eisenmann and colleagues have recently tackled this issue, offering a palette of potential solutions that circumvents traditional archaeological culture labels. We welcome renewed attention to nomenclature but take issue with such recent work that favours systems of taxonomic assignment for genomic groups that either do not include archaeological information at all or retain traditional cultural taxonomic categories. While superficially pragmatic, these administrative solutions do not address the substantive issues that the topic raises. We here present the argument that the only analytically viable solution to aligning genetic and cultural nomenclature is to conceptualise material culture as underwritten by a system of information transmission across generations that has similar structural properties to the genetic system of information transmission. This alignment facilitates the use of similar analytical protocols and hence allows for a true parallel analysis. Once culture change is also understood as an evolutionary process, a wealth of analytical methods for reconciling archaeological and genetic clusters becomes available.

Suggested Citation

  • Felix Riede & Christian Hoggard & Stephen Shennan, 2019. "Reconciling material cultures in archaeology with genetic data requires robust cultural evolutionary taxonomies," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-9, December.
  • Handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0260-7
    DOI: 10.1057/s41599-019-0260-7
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    References listed on IDEAS

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    1. Radu Iovita & Inbal Tuvi-Arad & Marie-Hélène Moncel & Jackie Despriée & Pierre Voinchet & Jean-Jacques Bahain, 2017. "High handaxe symmetry at the beginning of the European Acheulian: The data from la Noira (France) in context," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-25, May.
    2. Joseph K Pickrell & Jonathan K Pritchard, 2012. "Inference of Population Splits and Mixtures from Genome-Wide Allele Frequency Data," PLOS Genetics, Public Library of Science, vol. 8(11), pages 1-17, November.
    3. Bonhomme, Vincent & Picq, Sandrine & Gaucherel, Cédric & Claude, Julien, 2014. "Momocs: Outline Analysis Using R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i13).
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    Cited by:

    1. Philip Riris & Fabio Silva, 2021. "Resolution and the detection of cultural dispersals: development and application of spatiotemporal methods in Lowland South America," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-13, December.
    2. Emily Coco & Radu Iovita, 2020. "Time-dependent taphonomic site loss leads to spatial averaging: implications for archaeological cultures," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.

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