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Since the 1980's an intense scientific debate has revolved around the hunting capacities of early hominin populations and the behavioral patterns of carnivores sharing the same ecosystem, and thus competing for the same resources. This debate, commonly known as the hunter-scavenger debate, fostered the emergence of a new research line into the Bone Surface Modifications (BSMs) produced by both taphonomic agents. Throughout the following 20 years, multiple studies concerning the action of carnivores have been developed, with a particular focus on the oldest archaeological sites in East Africa. Recent technological advances applied to taphonomy have provided new insight into carnivore BSMs. A newly developed part of this work relies on Geometric Morphometrics (GMM) studies aimed at discerning carnivore agency through the morphologic characterization of tooth scores and pits. GMM studies have produced promising results, however methodological limitations are still present. This paper presents the first combined application of Machine Learning (ML) algorithms and GMM to the analysis of carnivore tooth marks, generating classification rates of 100% between carnivore species in some cases.

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The arrival of new methodological approaches to study microscopic qualities in cut mark morphology has been a major improvement in our understanding of butchering activities. Micro-morphological differences can be detected in multiple different taphonomic alterations on bone cortical surfaces that can later be used to compare different trace mark types. Through this, we can generate studies that are able to diagnose the specific taphonomic agents and activities that produce said traces that can be found on osteological surfaces. This paper presents experimental data that have been studied using micro-photogrammetry and geometric morphometrics, successfully distinguishing morphological differences in cut marks produced by different lithic tool types as well as different raw materials. The statistical results and methodologies presented here can later be applied to archaeological sites; aiding in our understanding of raw material exploitation, tool production as well as the different butchering activities that are present in faunal assemblages.