明清以来的市镇:中国城镇化发展的历史因缘

本文致力于厘清关于市镇研究的理论传统,对明清以来市镇的演变在经济、社会和政治等多个层面进行考察。从经济层面看,市镇是连接地方性市场和世界体系的节点,并越来越具有超层级、跨区域和金融化的特点;从社会层面看,市镇是有层级、有组织的,并具有很强的包容性;从政治层面看,它是地方自治化和国家政权建设的着力点。在社会结构中的中间性质是市镇的本质特征。社会学对于市镇的研究必须将其看作一种总体性的社会事实,在对生命体验、生活智慧、伦理道德、乡风民俗等民情因素进行调查研究的前提下,考察其与具体制度和社会结构之间的关联。     

Megachurch involvement at the local level: Examining conditions for church action in economic development

The roles of small congregations and their social impacts are well known, but few theoretical studies investigate megachurch congregations. These mammoth organizations have the potential for advancing social good, but minimal research specifically focuses on the activities of these congregations in economic development (ED). This study addresses this dearth of information by answering the following research questions: (a) In what ways are megachurches involved in ED activities? (b) Who benefits from these programs and how are the programs offered? and (c) What factors influence megachurches to offer ED activities? We frame our investigation using both demand‐ and supply‐side arguments from Frumkin's (2002) model of nonprofit and voluntary action. Online survey data and follow‐up interviews with 42 megachurch leaders in the Dallas/Fort Worth and greater Houston areas show that megachurches are implementing ED activities in alignment with demand‐side explanations, especially when advancing opportunities for the unemployed and underemployed. However, supply‐side arguments provide more explanatory power, indicating that volunteer engagement with ED activities plays a significant role in the provision of ED services through megachurches. Our study offers a better understanding of why megachurches carry out ED activities with considerable attention devoted to how megachurches partner with other congregations, nonprofits, and government entities to encourage economic growth and improve the economic well‐being of community members.     

A comparison study on modeling of clustered and overdispersed count data for multiple comparisons

Data collected in various scientific fields are count data. One way to analyze such data is to compare the individual levels of the factor treatment using multiple comparisons. However, the measured individuals are often clustered – e.g. according to litter or rearing. This must be considered when estimating the parameters by a repeated measurement model. In addition, ignoring the overdispersion to which count data is prone leads to an increase of the type one error rate. We carry out simulation studies using several different data settings and compare different multiple contrast tests with parameter estimates from generalized estimation equations and generalized linear mixed models in order to observe coverage and rejection probabilities. We generate overdispersed, clustered count data in small samples as can be observed in many biological settings. We have found that the generalized estimation equations outperform generalized linear mixed models if the variance-sandwich estimator is correctly specified. Furthermore, generalized linear mixed models show problems with the convergence rate under certain data settings, but there are model implementations with lower implications exists. Finally, we use an example of genetic data to demonstrate the application of the multiple contrast test and the problems of ignoring strong overdispersion.     

Variance estimation based on blocked 3×2 cross-validation in high-dimensional linear regression

In high-dimensional linear regression, the dimension of variables is always greater than the sample size. In this situation, the traditional variance estimation technique based on ordinary least squares constantly exhibits a high bias even under sparsity assumption. One of the major reasons is the high spurious correlation between unobserved realized noise and several predictors. To alleviate this problem, a refitted cross-validation (RCV) method has been proposed in the literature. However, for a complicated model, the RCV exhibits a lower probability that the selected model includes the true model in case of finite samples. This phenomenon may easily result in a large bias of variance estimation. Thus, a model selection method based on the ranks of the frequency of occurrences in six votes from a blocked 3×2 cross-validation is proposed in this study. The proposed method has a considerably larger probability of including the true model in practice than the RCV method. The variance estimation obtained using the model selected by the proposed method also shows a lower bias and a smaller variance. Furthermore, theoretical analysis proves the asymptotic normality property of the proposed variance estimation.     

Critical discourse analysis of perspectives on knowledge and the knowledge society within the Sustainable Development Goals

Critical discourse analysis (CDA) is employed to analyze discourses of knowledge and the knowledge society in the Sustainable Development Goals (SDGs). Discourse analysis is a collective name for a number of scientific methodologies for analyzing semiosis, namely how meaning is created and communicated though written, vocal or sign language. Employing a genealogical approach which locates discourses in the field of prior discourses, two prior discourses of the knowledge society are identified in the key document of the SDGs. The concepts knowledge and knowledge society are found to have a marginal position within the main policy document “Transforming our world,” adopted by the United Nations in September 2015. The techno‐scientific‐economic discourse is found to be dominant at the level of implementation and of goals, while there is some evidence of the pluralist‐participatory discourse at the level of vision and strategy. Analysis of some of the policy advice provided by international organizations and civil society indicates that more pluralist‐participatory discourses on knowledge were represented when the SDGs were being formulated. Developed countries and the corporate sector were very influential in determining the final text and were probably instrumental in excluding more transformational discourses and maintaining the status quo.     

清代西藏地方兵制考

清朝驻兵西藏,是中央政府行使主权管理的一个重要标志;同时加强对西藏地方兵制的完善和管理,也是中央政府行政体制中的重要一环.文章通过对清代西藏地方兵制的体制分析,从中揭示出其与中央政府的关系及其在历次反侵略战争中的作用,使后人对西藏地方兵制有一个全面的认识.     

试论“猺”、民、汉的演变——地方和家族历史中的族群标签

广西大藤峡地区在明代以猺乱频繁而闻名。明中期,桂西土司狼兵进入当地平乱,明政府安插教化,形成了猺、獞、狼、民等族类共存的格局。清朝,隨着国家正统文化秩序确立,土著通过创建宗族等方式建构祖先的士大夫形象。现今该地区被称为猺、獞、狼者已踪影难觅,取而代之者是被认定为汉族的人群,大多族谱也称祖先来自广东。族群标签及族谱编撰的背后,呈现的是地方社会变迁与国家秩序建立的复杂历史过程。本文以大藤峡地区崇姜里人群的身份变化为个案来揭示此过程。     

地方高校和谐管理与和谐校园建设

和谐管理思想是一种科学的管理思想,对组织实现目标和社会价值具有重要指导意义．其思想和研究方法对当前地方高校构建和谐校园有重要价值。以公平公正的育人环境创建和谐的校园,以专业调整和完善制度提高学生素质．以创新办学模式缓解毕业生就业难,以和谐预警机制及控制系统维护校园的长期稳定,将有助于地方高校进一步消除不和谐因素,维护校园稳定。     

非中心城市独立学院人才培养质量保障体系的探索与实践——以南华大学船山学院为例

近年来,南华大学船山学院通过提出现代人才培养理念、科学定位人才培养目标、科学制定人才培养方案、打造一流师资队伍、突出专业特色、完善课程体系、建构教学质量监控体系、搭建实习平台、加强校园文化建设、强化就业指导和服务等一系列对策与措施,探索出了一套适合非中心城市独立学院自身发展的、较为完善的人才培养质量保障体系。     

黎族与南方百越后裔诸民族民俗比较研究

本文从水的崇拜、传统节日、文身和口头语言民俗等层面,对黎族与南方百越后裔诸民族民俗加以比较研究。