2015
DOI: 10.1016/j.jas.2014.12.013
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Form and flow: the ‘karmic cycle’ of copper

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Cited by 111 publications
(103 citation statements)
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“…In this way, also as a consequence of the little control that ancient metalworkers had over the smelting and/or the reducing atmosphere during melting and annealing treatments, the use of arsenical copper scraps as raw material could easily have led to a considerable variability of As in the final alloy (Bray and Pollard 2015;Budd 1990;Hauptmann 2007;Jung 2003;Lechtman and Klein 1999;McKerrell and Tylecote 1972;Sabatini 2015;Tylecote et al 1977).…”
Section: Resultsmentioning
confidence: 99%
“…In this way, also as a consequence of the little control that ancient metalworkers had over the smelting and/or the reducing atmosphere during melting and annealing treatments, the use of arsenical copper scraps as raw material could easily have led to a considerable variability of As in the final alloy (Bray and Pollard 2015;Budd 1990;Hauptmann 2007;Jung 2003;Lechtman and Klein 1999;McKerrell and Tylecote 1972;Sabatini 2015;Tylecote et al 1977).…”
Section: Resultsmentioning
confidence: 99%
“…This has important implications for the development of a Bali/Java metallurgical tradition in that, in addition to it probably being ideologically stimulated by Mainland examples, there was a willingness not just to imitate foreign elite material culture but to entirely subsume and reorient both the form (techniques) and flow (materials) of imported metal for local needs (see Bray et al . ).…”
Section: Discussionmentioning
confidence: 97%
“…Others, such as Liversage (2000) and de Marinis (1979;2006), have used Waterbolk and Butler's (1965) frequency distribution histograms. Bray and Pollard have recently suggested using the presence/absence (based generally on a cut-off at 0.1%, renormalizing to account for alloying) of Arsenic, Antimony, Silver and Nickel to define groups (Bray and Pollard 2012;Bray et al 2015). These approaches are of course limited to the lowest common denominator of the elements determined by the greatest number of analytical programmes, and it is by no means sure that these elements are those with the greatest heuristic value, but they have arguably yielded important results.…”
Section: Using Data From Past Analytical Programmesmentioning
confidence: 99%