营造“包容性空间”:国际化社区的治理策略研究

营造包容性空间,构建包容性社会,加快推进空间治理的现代化进程,是现代化治理的重要目标。基于江苏省南京市Q社区的空间营造案例,从社区空间营造策略的视角出发,剖析国际化社区如何营造包容性空间。研究发现,基层政府基于中国居民与外籍人士的空间服务需求,运用多元参与、互动协商、文化治理等软性手段,通过建设人与居住地、社会、自然相融合的表征的包容性空间,组织温度、服务与文化协同相融的包容性空间的实践,构筑开放、包容与共享的包容性空间的表征等方式营造包容性空间。在营造包容性空间的过程中,基层政府空间营造行动的关键策略是采用“分型管理、内育外引”的主体包容策略、“内外兼修、空间包容”的技术包容策略、“多元网格、协商自治”的制度包容策略及“制度共融、成果共享”的结果包容策略,其根本目标在于打造国际化社区的治理共同体。包容性空间的治理技术对优化基层政府的空间治理能力、提升居民的参与水平与再造国际化社区秩序有积极效应,但亦潜藏多主体协同失序、政社关系掣肘、族群关系区隔、文化不稳定及包容性制度偏差等失灵风险。因此,基层政府需厚植多主体合作的治理机制、经营包容性空间的“适度性”,以利于国际化社区善治目标的实现。     

Social Sources of Failure in Education: The Case in East and Southeast Turkey

The efficiency of education in East and Southeast Turkey (E&SE) has long been a subject of debate. Both regions are similar to each other and different from the other regions in terms of economy, culture, ethnic origin, and languages spoken. Sahin (1997) studied the efficiency of education in the E&SE and proposed that illiteracy is significantly the highest in both regions, the female student population is significantly lower, and students are significantly less successful in nationwide general proficiency examinations (OSS and OYS) compared to all the other regions. Social sources of failure were studied in terms of the distinguishing characteristics of both regions, from both practical and theoretical standpoints. The findings indicated inequality of educational opportunity rooted in geographical, economical, social (cultural, linguistic), and political factors.     

综合选择指数中的变量选择

本文首次从变量选择的角度把ＡＩＣ准则应用于动物性状的综合选择指数之中,从而获得了最佳的综合选择指数。     

晚明科场风变与士人科举心态的演变

明代科举体制的相对完善,并未从根本上解决科举竞争压力、内外廉考官权力的不对等与试文的程式化等内在弊端。随着晚明科举流通机制的日渐壅滞,这些弊端也日渐显露,导致了舞弊、权力寻租及揣摩等科场风变的泛生。科举取士公正与公平性的削弱,使基层士人之科举生存环境渐趋恶化,并促动了士人科举心态由"中和恬退"向"燥竞"与"游离"的转化。     

试论因果连词"因此"的产生时代和原因

本文在详细考察有关语料的基础上,对因果连词“因此”的产生时代和产生原因有所结论。它产生的时代是南北朝,产生的原因与其所在的句法结构、语义、句法功能等有密切关系。     

Comparing robust generalized variances and comments on efficiency

Numerous papers have considered the problem of comparing univariate measures of dispersion corresponding to two independent groups. This paper considers a multivariate generalization of this problem where the goal is to compare robust generalized variances. For reasons given in the paper, attention is focused on a particular W-estimator where multivariate outliers are downweighted via a projection-type outlier detection method. Included are results on the small-sample efficiency of several estimators plus comments on using the usual generalized variance.     

On Non-parametric Estimation of the Survival Function with Competing Risks

The non-parametric maximum likelihood estimators (MLEs) are derived for survival functions associated with individual risks or system components in a reliability framework. Lifetimes are observed for systems that contain one or more of those components. Analogous to a competing risks model, the system is assumed to fail upon the first instance of any component failure; i.e. the system is configured in series. For any given risk or component type, the asymptotic distribution is shown to depend explicitly on the unknown survival function of the other risks, as well as the censoring distribution. Survival functions with increasing failure rate are investigated as a special case. The order restricted MLE is shown to be consistent under mild assumptions of the underlying component lifetime distributions.     

Pooling multivariate data under W, LR and LM tests

Two independent random samples are drawn from two multivariate normal populations with mean vectors μ1 and μ2 and a common variance-covariance matrix Σ. Ahmed and Saleh (1990) considered preliminary test maximum likelihood estimator (PMLTE) for estimating μ1 based on the Hotelling's T _N ², when it is suspected that μ1=μ2. In this paper, the PTMLE based on the Wald (W), Likelihood Ratio (LR) and Lagrangian Multiplier (LM) tests are considered. Using the quadratic risk function, the conditions of superiority of the proposed estimator for departure parameter are derived. A max-min rule for the size of the preliminary test of significance is presented. It is demonstrated that the PTMLE based on W test produces the highest minimum guaranteed efficiencies compared to UMLE among the three test procedures.     

Dependence Estimation Over a Finite Bivariate Failure Time Region

This articleconcerns nonparametric estimation of association between bivariatefailure times. In the presence of independent right censoring,the support for failure time variates may be restricted and measuresof dependence over a finite failure time region may be of particularinterest. To this end, the reciprocal cross ratio function, weightedby the bivariate failure time density, is proposed as a summarymeasure of dependence over a failure time region. This `relativerisk' estimator is shown to be consistent and asymptoticallynormally distributed, with consistent bootstrap variance estimator.A finite-region version of Kendall's tau, which is suitable forcensored failure time data, is also proposed, and correspondingasymptotic distribution theory is noted. The accuracy of theseasymptotic approximations is studied in simulations and an illustrationis provided.