2015
DOI: 10.1002/arco.5069
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The demise of a monopoly: Implications of geochemical characterisation of a stemmed obsidian tool from the Bishop Museum collections

Abstract: Geochemical analysis using portable X-ray fluorescence (pXRF) shows that a large stemmed tool in the Bishop Museum, thought at one time to be a mata'a from Rapa Nui, is composed of obsidian from the Mopir outcrops on New Britain, Papua New Guinea. As the first large, ceremonial stemmed tool from this quarry, it challenges the hypothesis that production was limited to one region, therefore suggesting that a more complex set of social networks operated in the period prior to 3000 BP in the Bismarck Archipelago.

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Cited by 5 publications
(4 citation statements)
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“…To match artifacts to a source, we compared our data with published source data in the western Pacific region (Bird et al, 1997;Reepmeyer, 2008Reepmeyer, , 2009Golitko et al, 2012;Sheppard et al, 2010;Burley et al, 2011;Constantine et al, 2015;Mulrooney et al, 2016). Of the 573 artifacts analyzed, one (TOSP-047) returned very low trace element concentrations, suggesting it is a chert; it was excluded from our analyses.…”
Section: Methodsmentioning
confidence: 99%
“…To match artifacts to a source, we compared our data with published source data in the western Pacific region (Bird et al, 1997;Reepmeyer, 2008Reepmeyer, , 2009Golitko et al, 2012;Sheppard et al, 2010;Burley et al, 2011;Constantine et al, 2015;Mulrooney et al, 2016). Of the 573 artifacts analyzed, one (TOSP-047) returned very low trace element concentrations, suggesting it is a chert; it was excluded from our analyses.…”
Section: Methodsmentioning
confidence: 99%
“…; Mulrooney et al . ). As other researchers have stressed, appropriate groupings should be determined on a case‐by‐case basis and informed by both the geology of the region under study and the nature of the questions being examined (Nazaroff et al .…”
Section: Resultsmentioning
confidence: 97%
“…In addition, constraints on the selection of samples due to artefact size have been lessoned considerably, thereby greatly reducing potential sampling biases (e.g. Torrence et al 2013;Mialanes et al 2016;Mulrooney et al 2014Mulrooney et al , 2016. It is now feasible to analyse large numbers or even entire archaeological assemblages (e.g.…”
Section: Detecting Exchangementioning
confidence: 99%