Using Actor-Network Theory to Characterize the Production of Ancient Maya Caching Events at Cerro Maya (Cerros, Belize)
Using Actor-Network Theory to Characterize the Production of Ancient Maya Caching Events at Cerro Maya (Cerros, Belize)
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使用参与者网络理论描述 Cerro Maya（伯利兹塞罗斯）古代玛雅缓存事件的产生
DOI：
10.1007/s10816-020-09485-4
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发表时间：
2020
影响因子：
2.3
通讯作者：
Duffy, Lisa
中科院分区：
文献类型：
--
作者：
Vadala, Jeffrey;Duffy, Lisa
受演员网络理论的启发，本研究采用了可操作的考古演员网络的方法来表征和研究人与物的关系与仪式缓存存款（还愿束的对象）在该网站的Cerro玛雅（原Cerros），伯利兹。旨在广泛适用于考古研究，我们的考古演员网络的方法，使人们有可能归纳检查，表征，历时比较复杂的数组的人类和非人类的关系。与以前的研究，缓存的特点主要是在象征性的条款，我们把缓存作为小规模的演员网络的痕迹，出现在古代玛雅缓存事件的生产。更具体地说，我们的行动者网络方法使我们能够根据材料、时间性、对象、地点和人群、他们的意图和行动之间的关系来表征缓存和缓存事件。归纳和历时的重点方法也使我们能够比较阵列的缓存演员网络随着时间的推移，同时考虑到缓存事件对随后的缓存事件和网站的社会发展的社会影响。这种方法表明，即使是简单的人工制品集群也可以被视为高度复杂的相互关联的社会关系网络的代理，这些网络在塑造重要的历史互动和社会秩序中发挥作用。
Inspired by actor-network theory, this research uses an operationalized archaeological actor-network approach to characterize and examine human-object relationships associated with ritual caching deposits (votive bundles of objects) at the site of Cerro Maya (formerly Cerros), Belize. Designed to be broadly applicable for archaeological studies, our archaeological actor-network approach made it possible to inductively examine, characterize, and diachronically compare the complex arrays of human and nonhuman relationships. In contrast to previous studies that characterized caches mainly in symbolic terms, we treated caches as traces of the small-scale actor-networks that emerged during the production of ancient Maya caching events. More specifically, our actor-network methodology made it possible to characterize caches and caching events in terms of the relationships between materials, temporality, objects, places, and groups of people, their intentions, and actions. The inductive and diachronic focus of approach also allowed us to compare arrays of caching actor-networks over time while considering the social affect that caching events had on subsequent caching events and the site’s social development. This approach demonstrates that even simple artifact clusters can be viewed as proxies for highly complex networks of interlinked social relations that play roles in shaping important historical interactions and social orders over time.
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