Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12136/1662
Item metadata
Title: Identifying the bone-breaker at the Navalmaíllo Rock Shelter (Pinilla del Valle, Madrid) using machine learning algorithms
Authors: Moclán Ramos, Abel
Huguet Pàmies, Rosa
Márquez, Belén
Laplana, César
Arsuaga, Juan Luis
Pérez-González, Alfredo
Baquedano, Enrique
Keywords: Taphonomy;Machine learning;Fracture planes;Middle Palaeolithic;Navalmaíllo Rock Shelter
Issue Date: Jan-2020
Publisher: Springer
Citation: Archaeological and Anthropological Sciences, 2020, 12 (46)
Abstract: In recent years, reports on bone breakage at archaeological sites have become more common in the taphonomic literature. The present work tests a recently published method, based on the use of machine learning algorithms for analysing the processes involved in bone breakage, to identify the agent that broke the bones of medium-sized animals at the Mousterian Navalmaíllo Rock Shelter (Pinilla del Valle, Madrid). This is the first time this method has been used in an archaeological setting. The results show that these bones were mostly broken by anthropic action, while some were slightly ravaged by carnivores, probably hyaenas. These findings agree very well with published interpretations of the site, and show the method used to be useful in taphonomic studies of archaeological materials with poorly preserved cortical surfaces.
URI: http://hdl.handle.net/20.500.12136/1662
ISSN: 1866-9557
1866-9565
DOI: 10.1007/s12520-020-01017-1
Editor version: https://doi.org/10.1007/s12520-020-01017-1
Type: Article
Appears in Collections:Arqueología



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