RT Journal Article
T1 Identifying the bone-breaker at the Navalmaíllo Rock Shelter (Pinilla del Valle, Madrid) using machine learning algorithms
A1 Moclán, Abel
A1 Huguet Pamiès, Rosa
A1 Márquez, Belén
A1 Laplana Conesa, César
A1 Arsuaga Ferreras, Juan Luis
A1 Pérez González, Alfredo José
A1 Baquedano, Enrique
AB 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.
PB Springer
SN 1866-9557, ESSN: 1866-9565
YR 2020
FD 2020
LK https://hdl.handle.net/20.500.14352/6243
UL https://hdl.handle.net/20.500.14352/6243
LA eng
NO Ministerio de Ciencia e Innovación (MICINN)/FEDER
NO Comunidad de Madrid/FEDER
NO Junta de Castilla y León/FEDER
NO Generalitat de Catalunya/AGAUR
NO Universitat Rovira i Virgili
DS Docta Complutense
RD 18 abr 2025