2019
DOI: 10.1007/s12520-019-00879-4
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The effects of blank size and knapping strategy on the estimation of core’s reduction intensity

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Cited by 18 publications
(17 citation statements)
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“…Nevertheless, to evaluate these two last characteristics it is essential to consider the overlapping effect of removals, because it may cause under-estimation on the reconstructions under certain circumstances. This mainly occurs in cores which have been extremely reduced by means of unifacial strategies, opening the door for results of estimated reduction being lower than the real ones at these final stages of knapping (Lombao et al, 2019).…”
Section: -Discussion and Conclusionmentioning
confidence: 99%
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“…Nevertheless, to evaluate these two last characteristics it is essential to consider the overlapping effect of removals, because it may cause under-estimation on the reconstructions under certain circumstances. This mainly occurs in cores which have been extremely reduced by means of unifacial strategies, opening the door for results of estimated reduction being lower than the real ones at these final stages of knapping (Lombao et al, 2019).…”
Section: -Discussion and Conclusionmentioning
confidence: 99%
“…Our results show that the VRM reliably estimates the sizes of initial blanks, regardless of the shape and/or size of the original cobble (characteristic 6). Unlike other methods, the VRM is not affected by the size of the original blank (Lombao et al, 2019), meaning assemblages with different initial dimensions can be compared.…”
Section: -Discussion and Conclusionmentioning
confidence: 99%
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“…The relationship between exploitation intensity and the different parameters proposed for its measure is complex. Each parameter may also be affected by technological and economic factors independent of reduction intensity, such as original nodule size and reduction modality (Lombao et al 2019). In standardized narrow-fronted reduction sequences, the removal of blanks and maintenance of the core convexities results in a progressive reduction of all core dimensions.…”
Section: Reduction Modalitymentioning
confidence: 99%
“…Thus, for unifacial cores, the general polarity hierarchises the division between different VSEs, while for bifacial cores, it is the relationship between the flaking surfaces that most characterises them. In addition to these parameters, we have considered other quantitative attributes such as the angle between percussion and flaking surfaces, as well as the percentage of non-cortical surface, used elsewhere as a proxy of the reduction degree (Douglass et al, 2018;Li et al, 2015;Lombao et al, 2019). 3D models of the cores have been used to quantify the Scar Pattern Index (SPI), proposed by Clarkson and colleagues (Clarkson et al, 2006), by computing the vectors established by the initial and final coordinates of each removal.…”
Section: Core Attributesmentioning
confidence: 99%