publication . Article . 2017

Identifying the accumulator: Making the most of bone surface modification data

Jessica C. Thompson; J. Tyler Faith; Naomi Cleghorn; Jamie Hodgkins;
Restricted
  • Published: 27 Jul 2017 Journal: Journal of Archaeological Science, volume 85, pages 105-113 (issn: 0305-4403, Copyright policy)
  • Publisher: Elsevier BV
Abstract
Taphonomic analysis is an essential component of zooarchaeology, but is employed in different ways within different research traditions. Within the Africanist Palaeolithic literature, there is a strong emphasis on quantitative comparison of proportions of different bone surface modifications to one another and to proportions observed on modern experimental collections. This work has been driven by debates about the taphonomic histories of Oldowan sites that document the subsistence strategies of early Homo, but this specific approach can be usefully applied to a range of contexts across many different time periods and geographic locations. One obstacle to the cr...
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Subjects
free text keywords: Archaeology, History, Biology, Robustness (computer science), Comparability, Paleontology, Taphonomy, Data science, Zooarchaeology, Sample size determination, Subsistence agriculture, Experimental data, Oldowan
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Funded by
NSF| Doctoral Dissertation Improvement Grant: Human Predation Pressure and the Late Quaternary Extinctions in the Cape Ecozone, South Africa
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 0824717
  • Funding stream: Directorate for Social, Behavioral & Economic Sciences | Division of Behavioral and Cognitive Sciences
,
NSF| Doctoral Dissertation Improvement Grant: Zooarchaeological tests for modern human behavior at Blombos Cave and Pinnacle Point Cave 13B, Southwestern Cape, South Africa
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 0620317
  • Funding stream: Directorate for Social, Behavioral & Economic Sciences | Division of Behavioral and Cognitive Sciences
,
ARC| Discovery Early Career Researcher Award - Grant ID: DE160100030
Project
  • Funder: Australian Research Council (ARC) (ARC)
  • Project Code: DE160100030
  • Funding stream: Discovery Early Career Researcher Award
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