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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98326
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor高德zh_TW
dc.contributor.advisorDavid J. Cohenen
dc.contributor.author張騫翮zh_TW
dc.contributor.authorChien-Ho Zhangen
dc.date.accessioned2025-08-01T16:13:52Z-
dc.date.available2025-08-02-
dc.date.copyright2025-08-01-
dc.date.issued2025-
dc.date.submitted2025-07-30-
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陳光祖、臧振華、劉益昌、邊鈺皓 2023b 《先民歷史再現:十三行文化人——國定十三行考古遺址出土墓葬遺留清整研究計畫成果報告(2021.07.27-2022.12.31)》。文化部文化資產局委託計畫。
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98326-
dc.description.abstract十三行遺址(ca. 1800-550 cal. B.P.)位於淡水河河口,該遺址因出土目前台灣已知最早的煉鐵證據,使之成為台灣金屬器時代(ca. 2400-450 B.P.)最為重要的聚落遺址之一。過去針對十三行遺址之研究,多半著重該聚落遺址作為一社會體系(social system)的形貌、參與煉鐵技術之社會單位,以及出土玻璃珠所指向之海上交換網絡等等。筆者奠基於以上研究,乃嘗試從「拼裝」(assemblage)的概念出發,並結合考古學中之於社群(community)的討論,針對十三行出土墓葬進行空間與統計分析。具體而言,本文藉由相對定年並佐以絕對定年資料,首先將十行墓葬劃分為三個時期,緊接著運用GIS 軟體與R 語言,針對三時期之墓葬各自以Average Nearest Neighbor、Buffering、Global Moran’s I、Spearman 相關係數(Spearman’s correlation coefficient)與叢集分析(cluster analysis)等工具分析之。筆者進而能夠擬測墓葬空間叢集之規模,並於時間之縱深與空間之橫展中,探討陪葬品之數量與種類、死者年齡、性別與病理特徵之間的相關性與差異。根據分析結果,第一期(ca. 1800-1400 cal. B.P.)的社群規模較小且維繫較為鬆散;第二期(ca. 1400-1050 cal. B.P.)則可觀察到社群數量之劇增,筆者更發現,那些含有民族誌中所記載具特殊社會意義之物品(即青銅刀柄、陶容器、大量玻璃珠等)的墓葬,分散在不同社群中,顯示出相較前一期更為劇烈與多元的社群領域化(territorialization)過程;到了第三期(ca. 1050-550 cal. BP.),各社群乃透過縮短墓葬間距來實踐與維繫內部凝聚力,而筆者認為,此與陪葬品之數量大幅下降有關。筆者進一步懷疑,第一期至第二期的葬俗變化實與煉鐵技術之引入有關;至於第二期至第三期的轉變則可歸因於,十三行人原先所參與的東南亞海上交換網絡,逐漸受到漢人影響。總體而言,筆者定調比起「體系」,「拼裝」一詞應能更精確地描述十三行人所身處的社會——蓋因十三行並非一依循功能機制運作的單一體系,而是由多個異質的社群所匯聚而成,並拼裝成一具特定認同與內部凝聚力的動態整體。zh_TW
dc.description.abstractThe Shihsanhang (ca. 1800-550 cal. B.P.) site, located along the Tamsui River estuary in Taipei, northern Taiwan, is one of the most significant Metal Age (ca. 2400-450 B.P.) settlement sites in Taiwanese archaeology. As the oldest site known to yield remains of in situ iron production in Taiwan, past research on Shihsanhang has focused on how the settlement functioned as a social system, the social units that carried out ferrous metallurgical techniques, and the maritime exchange networks to which the abundance of glass beads unearthed at the site point. While grounding my study in these discussions, in this thesis, I attempt to theoretically employ a new approach drawn from the anthropological concept of the “assemblage” (which differs from the traditional archaeological term of assemblage), coupled with archaeological theorizations of community, in the spatial and statistical analyses of the mortuary remains at Shihsanhang. This usage of “assemblage” draws primarily from Delanda, Latour, and Bennet’s discussions. After dividing the mortuary remains into three chronological phases, I utilize the Average Nearest Neighbor, Buffering, Global Moran’s I, Spearman’s correlation coefficient, and cluster analysis tools with GIS software and the R coding language, to delineate spatial clusters of graves and detect correlations and differences among the quantity and quality of grave goods, age, sex, and pathological traits. According to the analytical results, in Phase 1 (ca. 1800-1400 cal. B.P.), communities were comparatively small and loosely maintained. In Phase 2 (ca. 1400-1050 cal. B.P.), I observe an increase in the number of communities, as well as the sporadic distribution of bronze knife handles, pottery, and relatively large quantities of glass beads, indicating intensified but varied community territorialization processes. Finally, in Phase 3 (ca. 1050-550 cal. B.P.), the amount of all the mentioned grave goods decreases, and communities respond to this material decline by burying their dead at shorter spatial intervals to maintain the internal cohesion of communities. I attribute the changes in mortuary practices between Phase 1 and Phase 2 to the introduction of iron production, and attribute the shifts in mortuary practices from Phase 2 to Phase 3 to the Shihsanhang residents’ transition from Southeast Asian exchange networks to those linked with the Han-Chinese. Based on these results, I propose that “assemblage” more accurately characterizes Shihsanhang than “system.” This is because, rather than one systematic social entity operating according to functional mechanisms, Shihsanhang appears to be assembled, that is, to be gathered from many heterogeneous communities into a dynamic compound involving an identity and internal cohesiveness.en
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dc.description.tableofcontentsACKNOWLEDGEMENTS i
中文摘要 v
ABSTRACT vii
TABLE OF CONTENTS ix
LIST OF FIGURES xii
LIST OF TABLES xvi
CHAPTER 1: INTRODUCTION 1
CHAPTER 2: BACKGROUND OF THE SHIHSANHANG SITE 7
CHAPTER 3: THE RESEARCH MATERIALS: THE SHIHSANHANG BURIALS 10
CHAPTER 4: PAST RESEARCH ON SHIHSANHANG 12
4.1 The First Problem: The Lack of Intra-Settlement Chronological Control 16
4.2 The Second Problem: The Social as a Systematic and Functional Whole 17
4.3 The Third Problem: The Settlement as a Self-Evident Social Unit or Passive Reflection of Social Organization 20
4.4 The Fourth Problem: Anthropocentrism 22
4.5 Section Summary 23
CHAPTER 5: THE RESEARCH QUESTIONS 25
CHAPTER 6: THEORETICAL BACKGROUND 31
6.1. Assemblage Theory 31
6.2. Assemblage and Community 41
6.3. Exploring Communities through Burials 44
6.4. Section Summary 51
CHAPTER 7: THE SHIHSANHANG MORTUARY DATA AND DATA PROCESSING METHODS EMPLOYED 53
7.1. The Available Data Records 53
7.2. Processing the Data Records 56
7.2.1. Associating the Grave Goods Incident Data with Specific Burials 56
7.2.2. Chronological Control 57
7.2.3. Creating the Feature Points of Skeletons on the GIS Software 61
7.3. The Final Dataset for Analysis 61
7.4. Section Summary 61
CHAPTER 8: THE RESEARCH METHODS 63
8.1 Spatial Analysis 63
8.1.1. Average Nearest Neighbor (ANN) 63
8.1.2. Buffering 65
8.1.3. Global Moran’s I (GMI) 66
8.2 Statistical Analysis 67
8.2.1. Spearman’s Correlation (SC) Coefficient 67
8.2.2. Cluster Analysis (CA) 68
8.3. Section Summary 70
CHAPTER 9: THE ANALYTICAL RESULTS 71
9.1. The Average Nearest Neighbor (ANN) Analytical Results 73
9.2. Buffering Results 73
9.3. The Global Moran’s I (GMI) Analytical Results 76
9.4. Spearman’s Correlation (SC) Matrices 77
9.5. The Cluster Analysis (CA) Analytical Results 79
9.6. Section Summary 82
CHAPTER 10: DISCUSSION 84
10.1. From Assemblage Theory to Shihsanhang 85
10.2. Phase 1 95
10.3. Phase 2 99
10.4. Phase 3 105
10.5. What Triggered the Changes? 108
10.6. Section Summary 110
CHAPTER 11: CONCLUSION 113
REFERENCES 125
FIGURE CAPTIONS 144
TABLE CAPTIONS 180
APPENDIX 1 182
A.1. The Codes for Calculating Spearman’s Correlation Coefficients 182
A.2. The Codes for Cluster Analysis 183
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dc.language.isoen-
dc.subject墓葬zh_TW
dc.subject十三行zh_TW
dc.subject社群zh_TW
dc.subject統計分析zh_TW
dc.subjectGISzh_TW
dc.subjectassemblage theoryzh_TW
dc.subjectmortuaryen
dc.subjectstatistical analysisen
dc.subjectGISen
dc.subjectassemblage theoryen
dc.subjectShihsanhangen
dc.subjectcommunityen
dc.title拼裝社群:十三行遺址墓葬空間與統計分析zh_TW
dc.titleAssembling Communities at Shihsanhang: A Mortuary Spatial and Statistical Investigationen
dc.typeThesis-
dc.date.schoolyear113-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee陳光祖;吳牧錞;王冠文zh_TW
dc.contributor.oralexamcommitteeKwang-tzu Chen;Mu-chun Wu;Kuan-Wen Wangen
dc.subject.keyword十三行,墓葬,assemblage theory,GIS,統計分析,社群,zh_TW
dc.subject.keywordShihsanhang,mortuary,assemblage theory,GIS,statistical analysis,community,en
dc.relation.page184-
dc.identifier.doi10.6342/NTU202502709-
dc.rights.note同意授權(全球公開)-
dc.date.accepted2025-07-31-
dc.contributor.author-college文學院-
dc.contributor.author-dept人類學系-
dc.date.embargo-lift2025-08-02-
顯示於系所單位:人類學系

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