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DOI: 10.1371/journal.pone.0091510
论文题名:
Modeling Group Size and Scalar Stress by Logistic Regression from an Archaeological Perspective
作者: Gianmarco Alberti
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2014
发表日期: 2014-3-13
卷: 9, 期:3
语种: 英语
英文关键词: Decision making ; Archaeology ; Ethnoarchaeology ; Forecasting ; Cognition ; Confidence intervals ; Food consumption ; Neolithic period
英文摘要: Johnson’s scalar stress theory, describing the mechanics of (and the remedies to) the increase in in-group conflictuality that parallels the increase in groups’ size, provides scholars with a useful theoretical framework for the understanding of different aspects of the material culture of past communities (i.e., social organization, communal food consumption, ceramic style, architecture and settlement layout). Due to its relevance in archaeology and anthropology, the article aims at proposing a predictive model of critical level of scalar stress on the basis of community size. Drawing upon Johnson’s theory and on Dunbar’s findings on the cognitive constrains to human group size, a model is built by means of Logistic Regression on the basis of the data on colony fissioning among the Hutterites of North America. On the grounds of the theoretical framework sketched in the first part of the article, the absence or presence of colony fissioning is considered expression of not critical vs. critical level of scalar stress for the sake of the model building. The model, which is also tested against a sample of archaeological and ethnographic cases: a) confirms the existence of a significant relationship between critical scalar stress and group size, setting the issue on firmer statistical grounds; b) allows calculating the intercept and slope of the logistic regression model, which can be used in any time to estimate the probability that a community experienced a critical level of scalar stress; c) allows locating a critical scalar stress threshold at community size 127 (95% CI: 122–132), while the maximum probability of critical scale stress is predicted at size 158 (95% CI: 147–170). The model ultimately provides grounds to assess, for the sake of any further archaeological/anthropological interpretation, the probability that a group reached a hot spot of size development critical for its internal cohesion.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0091510&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/18855
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Independent Researcher, Catania, Italy

Recommended Citation:
Gianmarco Alberti. Modeling Group Size and Scalar Stress by Logistic Regression from an Archaeological Perspective[J]. PLOS ONE,2014-01-01,9(3)
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