Gimbutas’ Smile – An Archaeology Led, Archaeogenetic Model
How to cite: Kenyon, B. Gimbutas’ Smile – An Archaeology Led, Archaeogenetic Model. Preprints 2017, 2017120137 (doi: 10.20944/preprints201712.0137.v1). Kenyon, B. Gimbutas’ Smile – An Archaeology Led, Archaeogenetic Model. Preprints 2017, 2017120137 (doi: 10.20944/preprints201712.0137.v1).
This paper presents an archaeogenetic model based on a strategic review of the Neolithic and Chalcolithic archaeology of Europe, alongside a review of recently published ancient DNA data. The model is archaeology led. It takes archaeology themes and proposes migratory events to explain them. Ancient DNA data and further archaeology evidence is then used to test these proposed migrations- to reject or refine them.
The model introduces a new and more strategic way of looking at archaeological cultures - that updates early 20th century approaches to studying archaeology cultures, and integrates with the detailed ‘post processual’ studies of the late 20th Century.
The model consists of seven maps – each showing multiple migration events – with key evidence to support each migration map. It proposes a new category of a ‘Black Sea’ related population that makes a major genetic contribution to the Middle Neolithic of Europe.
The proposed migrations provide an explanation for the observed patterns of archaeology, for example:
• multiple Neolithic migrations that introduced, farming and metalworking into Europe;
• a major ‘Black Sea’ related ‘Middle Neolithic’ migration that carried advanced knowledge of astronomy that can be recognised in a variety of types of monument from the Neolithic through to Bronze Age Europe; and,
• migrations of related cultures (‘supercultures’) that explain patterns of trade and exchange in Bronze Age western Europe.
The model also provides ancient DNA and archaeology based support for the key aspects of Childe’s ‘dawn of civilisation’ in Europe and Egypt and Gimbutas’ ‘Old Europe’ and “three waves of migration from the Steppe”.
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Readers' Comments and Ratings (0)Leave a public comment
Send a private comment to the author(s)
Rate this article