Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/29926
Appears in Collections: | Biological and Environmental Sciences Journal Articles |
Peer Review Status: | Refereed |
Title: | Confessions of a serial polygamist: the reality of radiocarbon reproducibility in archaeological samples |
Author(s): | Bayliss, Alex Marshall, Peter |
Contact Email: | alexandra.bayliss@stir.ac.uk |
Keywords: | Archaeology General Earth and Planetary Sciences |
Issue Date: | Oct-2019 |
Date Deposited: | 25-Jul-2019 |
Citation: | Bayliss A & Marshall P (2019) Confessions of a serial polygamist: the reality of radiocarbon reproducibility in archaeological samples. 23rd International Radiocarbon Conference, Trondheim, Norway. Radiocarbon, 61 (5), pp. 1143-1158. https://doi.org/10.1017/rdc.2019.55 |
Abstract: | Since 1993 Historic England (and its predecessor English Heritage) has commissioned 9,074 radiocarbon measurements on archaeological samples. Over 80% of these have been interpreted within formal Bayesian statistical models. The multiple strands of reinforcing evidence incorporated in these models provide precise chronologies that make stringent demands on the accuracy of the radiocarbon results included in the analysis. Inter-laboratory replication is consequently a routine part of model construction and validation. We report an analysis of replicate measurements on 1,089 archaeological samples. It is clear that laboratory reproducibility accounts for only part of the observed variation. The type of material dated is also critical to the reproducibility of measurements, with some sample types proving particularly problematic. |
DOI Link: | 10.1017/rdc.2019.55 |
Rights: | © 2019 by the Arizona Board of Regents on behalf of the University of Arizona. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
Files in This Item:
File | Description | Size | Format | |
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Bayliss and Marshall 2019 preprint.pdf | Fulltext - Published Version | 554.78 kB | Adobe PDF | View/Open |
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