Doctoral Dissertation Improvement Award: The Interaction among Migration, Outcome and Social Structure

博士论文改进奖：移民、结果与社会结构之间的相互作用

• 批准号: 1745150
• 负责人: Jodie O'Gorman
• 金额: $ 0.93万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-12-01 至 2018-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745150&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Improvement; Award; Interaction

The goal of this research is to investigate how network relationships among complex and smaller-scale societies structure, and are restructured by, migration. Prior scholarship on intercultural contacts emphasizes interaction spheres, hybridization, technological transfer, or models of exchange as measures for constructing borders and defining societal membership. Understanding and accounting for historical and relational context, on the other hand, is critical to the development of a coherent and generalizable theory of intercultural contact. Archaeology is well suited to explore the complex sociocultural formations that result from intercultural contact by capturing transformations in relationships between communities following contact. This research contributes to broader social and intellectual benefit by enhancing understanding of the impact of migration on social structure, which is an important analytical issue due to the prevalence of migration induced by war, climatic instability, economic insecurity, and social unrest in contemporary and prehistoric settings. Historical context will also be provided for understanding how and perhaps why different approaches to multicultural coexistence may lead to stable advantageous outcomes or encourage instability and conflict. This project will examine the role of network interrelationships as indicators of how both local societies and non-local migrant peoples approach intercultural social and economic relations. Through the application of a multiple relations, or multilayer, social network analysis methodology it is possible to gain insight into the various networks that connect communities to one another. It is also possible to scrutinize changes in social structure following a migration process. Andrew Upton, a doctoral student at Michigan State University will address the role of ceramic industry in the transformation of communal-scale interaction and identification networks across the Middle to Late Mississippian transition in the Late Prehistoric central Illinois River Valley. . Analysis of network models will clarify how a circa 1300 A.D. in-migration of an Oneota tribal group restructured social relationships in a Mississippian chiefly environment and how communities negotiated multicultural regional cohabitation. Laser ablation inductively couple plasma mass spectrometry (LA-ICP-MS) will provide clues to model networks of clay resource acquisition and exchange of cooking and serving pottery. Analysis of distributions of stylistic decorations on pots will reveal networks of categorical identification based on ascription to common social units and nonverbal communication. Technological characterization data related to pottery vessel form will elucidate shared relationships of learning and the transmission of culture through time. In providing a dynamic and multi-faceted view on social structure, this research contributes to a more nuanced understanding of social and economic transformations resulting from cultural contact.

这项研究的目的是调查复杂和小规模社会之间的网络关系如何构建以及通过迁移进行重组。先前关于跨文化接触的学术研究强调互动领域、杂交、技术转让或交换模式作为构建边界和定义社会成员的措施。另一方面，理解和解释历史和关系背景对于发展连贯且可概括的跨文化接触理论至关重要。考古学非常适合通过捕捉接触后社区之间关系的转变来探索跨文化接触所产生的复杂的社会文化形态。这项研究通过加深对移民对社会结构的影响的理解，为更广泛的社会和智力利益作出贡献，由于当代和史前环境中战争、气候不稳定、经济不安全和社会动荡引起的移民普遍存在，这是一个重要的分析问题。还将提供历史背景，以帮助理解多元文化共存的不同方法如何以及为何可能导致稳定的有利结果或鼓励不稳定和冲突。该项目将研究网络相互关系的作用，作为当地社会和非当地移民如何处理跨文化社会和经济关系的指标。通过应用多重关系或多层社交网络分析方法，可以深入了解将社区相互连接的各种网络。还可以仔细研究移民过程后社会结构的变化。密歇根州立大学的博士生安德鲁·厄普顿将探讨陶瓷工业在伊利诺伊州中部史前晚期密西西比河流域中后期密西西比过渡期间公共规模互动和识别网络转变中的作用。 。对网络模型的分析将阐明大约公元 1300 年奥奥奥塔部落群体的移民如何在密西西比人为主的环境中重组社会关系，以及社区如何协商多文化区域共居。激光烧蚀电感耦合等离子体质谱 (LA-ICP-MS) 将为粘土资源获取以及烹饪和服务陶器交换的模型网络提供线索。对壶上风格装饰分布的分析将揭示基于共同社会单位和非语言交流的分类识别网络。与陶器形式相关的技术特征数据将阐明学习和文化随时间传播的共享关系。这项研究提供了关于社会结构的动态和多方面的观点，有助于更细致地理解文化接触引起的社会和经济转型。