Doctoral Dissertation Research Award: Recycling of Material Culture
Doctoral Dissertation Research Award: Recycling of Material Culture
批准号:
2133751
负责人:
Radu Iovita
金额:
$2.48万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-02-01 至 2024-01-31
中文摘要
人类对空间和物质文化的再利用在整个历史上都是一种被广泛记录的行为,但研究人员才刚刚开始了解回收是如何影响人类行为进化的。回收既可以在个人的一生中进行,也可以在更长的时间范围内进行。因此,考古学能够很好地研究回收的影响,因为物质文化记录是长期多种活动和职业的结果。已有研究表明,回收利用在历史上反复改写考古模式,但研究人员研究其对考古记录的影响的模型有限。这个项目将调查早期的回收例子,特别是石器的回收。将开发影响考古沉积物回收频率的以前未被探索的因素的模型,使考古学家能够更好地理解为什么这种行为发生在某些地点。这些将被用来评估暴露在开阔地面上的人工制品矿床中职业的时间和空间分布。这些遗址构成了关于该地区史前信息的主要未开发来源,该地区一直是人类运动和互动的纽带。该项目还将通过共享计算机代码和考古数据来促进开放科学,以促进可再现性和可获得性。此外,该项目将促进国际合作,使考古更容易获得,以便更好地将其纳入人类历史的故事。目前,人们争辩说,石器回收是因为获得原材料来源有限。然而,在拥有当地可用的石材资源的地方,也有回收利用的人种学和考古学例子。这个项目测试了一种更新的回收模型,该模型通过暴露人工制品、选择行为和移动模式来构建模式。研究人员创建了基于代理的计算机模拟,以确定由该提议的模型产生的伪像分布。然后将这些图案与旧石器时代地表遗址综合体的考古数据进行比较。将确定回收对象的浓度是否与模拟中图案所示的曝光、选择和移动性的代理重叠。开发的模型将帮助考古学家确定使景观中或多或少可能进行回收的参数,从而更好地了解人类土地利用的历史。该项目代表着探索可能促进石器回收的条件范围的重要一步,以便充分了解这种行为在过去是如何运作的。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Human reuse of space and material culture is a widely documented behavior throughout history, but researchers are only beginning to understand how recycling influenced human behavioral evolution. Recycling can take place either within an individual lifetime or at much larger time scales. Archaeology is therefore well positioned to examine the effects of recycling because the material culture record results from multiple activities and occupations over extended periods of time. It has been shown that recycling repeatedly rewrites archaeological patterns through history, yet researchers have limited models for studying its effects on the archaeological record. This project will investigate early examples of recycling, specifically that of stone tools. Models of previously unexplored factors that impact the frequency of recycling in archaeological deposits, allowing archaeologists to better understand why this behavior happens in certain locations will be developed. These will be employed to evaluate the temporal and spatial distributions of occupations in artifact deposits exposed on open land surfaces. Such sites constitute a major untapped source of information about the prehistory in a region, which has been a nexus of human movement and interaction. This project will also promote open science through sharing of computer code and archaeological data to facilitate reproducibility and accessibility. Furthermore, this project will foster international collaboration to make the archaeology more accessible so it can be better incorporated into the story of human history. It is currently argued that stone tool recycling occurred because of limited access to raw material sources. However, there are ethnographic and archaeological examples of recycling occurring in places with locally available stone resources. This project tests an updated model of recycling that is patterned by exposure of artifacts, selection behaviors, and mobility patterns. The investigators create agent-based computer simulations to identify artifact distributions that result from this proposed model. These patterns will then be compared to archaeological data from a Paleolithic surface site complex. It will be determined if concentrations of recycled objects overlap with proxies for exposure, selection, and mobility as patterned in the simulation. The models developed will help archaeologists identify parameters that make recycling more or less likely within a landscape, allowing for better understanding the history of human land use. This project represents an important step to explore the range of conditions that may promote recycling of stone tools in order to fully understand how this behavior functioned in the past.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Examining recycling behaviors at Semizbugu P1 (2022), Kazakhstan
检查哈萨克斯坦 Semizbugu P1 (2022) 的回收行为
DOI:
10.52967/akz2022.3.17.103.114
发表时间:
2022
期刊:
Археология Казахстана
影响因子:
--
作者:
[Coco, Emily, Mamirov, Talgat]
通讯作者:
Mamirov, Talgat
Understanding and classifying lithic use wear: a systematic study using controlled tribological experiments and computer vision
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批准号:2152565
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项目类别:Standard Grant
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资助金额:$21.32万
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财政年份:2022
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负责人:Radu Iovita
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依托单位:
海外基金