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Technological variability within East African Middle Stone Age (MSA) lithic assemblages is considered a reflection of regional or local identities. These identities are a possible outcome of different social dynamics in human populations or interaction with the environment. Here we analysed the lithic assemblage from GOT 1-S site, in the Gotera area (Southern Ethiopia) in order to integrate fresh data from the region into the broader discussion on the technological variability of the MSA of Eastern Africa. To reach this goal, we considered lithic data from a surface dispersion, through the combination of different methods. Technological and statistical analyses performed on lithic assemblage suggest the existence of two distinct reduction sequences related to different raw materials: quartz and basalt. The technological analysis shows a more opportunistic reduction strategy on basalt artefacts, while the quartz lithic assemblage exhibits a more accurate preparation of core striking platforms and more predetermined products. The results of technological analyses on flakes, tools and cores were elaborated using Principal Component Analysis and Cluster Analysis. The two analyses allowed to confirm the hypothesis of two reduction strategies according to different raw material selection and managing. Furthermore, the categorical attributes from cores and flakes were processed by means of Correspondence Analysis, highlighting the technological differences linked to the different raw materials exploited. Moreover, the combined results from the technological and statistical analyses proved the validity of this integrated methodology to analyse a lithic collection from a surface context.
Ethiopia; Middle Stone Age; lithic technology; multivariate analyses; Principal Component Analysis; Cluster Analysis; Correspondence Analysis, Archaeology, Ethiopia; Middle Stone Age; lithic technology; multivariate analyses; principal component analysis; cluster analysis; correspondence analysis, CC1-960
Ethiopia; Middle Stone Age; lithic technology; multivariate analyses; Principal Component Analysis; Cluster Analysis; Correspondence Analysis, Archaeology, Ethiopia; Middle Stone Age; lithic technology; multivariate analyses; principal component analysis; cluster analysis; correspondence analysis, CC1-960
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