期刊
ARCHAEOLOGICAL AND ANTHROPOLOGICAL SCIENCES
卷 12, 期 2, 页码 -出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s12520-020-01017-1
关键词
Taphonomy; Machine learning; Fracture planes; Middle Palaeolithic; Navalmaillo Rock Shelter
资金
- Junta de Castilla y Leon by the European Social Funds through the Consejeria de Educacion [BDNS 376062]
- MCIU/AEI/FEDER, UE [PGC 2018-094125-B-100]
- MICINN-FEDER [PGC 2018-093925-B-C32]
- AGAUR [2017SGR1040]
- Education Secretariat of the Madrid Regional Government
- Museo Arqueologico Regional de la Comunidad de Madrid (MAR)
- Comunidad de Madrid [H2019/HUM-5840]
- Fondo Social Europeo
- URV [2016 PFR-URV-B2-17]
- URV (2014)
- URV (2015)
- Grupo Mahou
- Canal de Isabel II-Gestion
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 Navalmaillo 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.
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