网络怨恨的价值位移——基于舍勒现象学的分析

当前网络表达中到处弥漫的怨恨情绪,使技术理性的价值产生位移或曰颠覆,正价值如正义、公平、为承认而斗争等,在怨恨的情绪及其网络表达中导向负价值：网络暴政、人的主体性的消解,使人陷入＂单向度的人＂的危险。当下网络表达的无序和失序,正是怨恨的现象学呈现。因而,透过现象学观察的怨恨及其网络表达,或许可为我们反思批判当下和建构新的网络伦理提供一个新的思路。     

Assessing robustness of crossover designsto subjects dropping out

In some crossover experiments, particularly in medical applications, subjects may fail to complete their sequences of treatments for reasons unconnected with the treatments received. A method is described of assessing the robustness of a planned crossover design, with more than two periods, to subjects leaving the study prematurely. The method involves computing measures of efficiency for every possible design that can result, and is therefore very computationally intensive. Summaries of these measures are used to choose between competing designs. The computational problem is reduced to a manageable size by a software implementation of Polya theory. The method is applied to comparing designs for crossover studies involving four treatments and four periods. Designs are identified that are more robust to subjects dropping out in the final period than those currently favoured in medical and clinical trials.     

Efficacy of programmes for the unemployed: discrete time modelling of duration data from a matched-comparison study

An evaluation is described of two UK Government programmes for the long-term unemployed in Great Britain, Employment Training and Employment Action, using discrete time hazard modelling of event histories. The study design employed a closely matched comparison group and carefully chosen control variables to minimize the effect of selection bias on conclusions. The effect of unobserved heterogeneity is investigated by using some standard random effect model formulations.     

Testing lack of fit of regression models under heteroscedasticity

A test is proposed for assessing the lack of fit of heteroscedastic nonlinear regression models that is based on comparison of nonparametric kernel and parametric fits. A data-driven method is proposed for bandwidth selection using the asymptotically optimal bandwidth of the parametric null model which leads to a test that has a limiting normal distribution under the null hypothesis and is consistent against any fixed alternative. The resulting test is applied to the problem of testing the lack of fit of a generalized linear model.     

大学教学价值取向:历史与现实

从影响当前大学教学方方面面的价值取向看,大学教学要坚守古代的"理智培育"价值取向,这是大学教学永葆魅力的根源所在.同时,大学教学要张扬现代的"技术获取"价值取向,这是作为生活世界现象的大学教学的重要使命之一.第三,大学教学要倡导后现代的"欲望释放"价值取向,这是大学教学充满生机与活力的保证.因此,大学教学价值取向并非还原为欲、技、道中的某一维,而是这三者的有机统一.     

参与观察、类型比较和文化变迁的经验基础--评费孝通与利奇之间的理论分歧

本文对费孝通和利奇的理论作了较为详细的对比分析 ,并找出了他们的分歧所在 ,有助于社会人类学学者对我国社会问题的进一步研究     

西北地区回族、撒拉族、维吾尔族民间婚俗舞蹈比较研究(连载)

在甘、青、宁和新疆地区 ,在民间婚礼中 ,曾经活跃着三种婚俗性的民间舞蹈表演。然而 ,随着历史的推进 ,也出现了舞蹈历史兴衰的现象。本文以生活在中国西北地区的撒拉族、回族、维吾尔族的婚礼中的舞蹈为研究对象 ,在大量第一手调查资料、文献资料的基础上 ,试图分析《堆依奥依纳》、《宴席舞》、《纳孜尔库姆》这三种婚俗舞蹈各自兴衰的过程     

Pooled Panel Unit Root Tests and the Effect of Past Initialization

This paper analyzes the role of initialization when testing for a unit root in panel data, an issue that has received surprisingly little attention in the literature. In fact, most studies assume that the initial value is either zero or bounded. As a response to this, the current paper considers a model in which the initialization is in the past, which is shown to have several distinctive features that makes it attractive, even in comparison to the common time series practice of making the initial value a draw from its unconditional distribution under the stationary alternative. The results have implications not only for theory, but also for applied work. In particular, and in contrast to the time series case, in panels the effect of the initialization need not be negative but can actually lead to improved test performance.     

On conditional risk estimation considering model risk

Usually, parametric procedures used for conditional variance modelling are associated with model risk. Model risk may affect the volatility and conditional value at risk estimation process either due to estimation or misspecification risks. Hence, non-parametric artificial intelligence models can be considered as alternative models given that they do not rely on an explicit form of the volatility. In this paper, we consider the least-squares support vector regression (LS-SVR), weighted LS-SVR and Fixed size LS-SVR models in order to handle the problem of conditional risk estimation taking into account issues of model risk. A simulation study and a real application show the performance of proposed volatility and VaR models.     

中国儿童基本机会多维不平等的综合测度研究

遵循国际规范,基于世界银行用于测度单一机会不平等的人类机会指数(Human Opportunity Index,HOI),借鉴最新的综合测度方法和多维机会指数(Multidimensional Human Opportunity Index,MHOI),首次对中国儿童的教育、医疗保险、安全饮水、卫生设施及家庭用电5种基本机会不平等进行综合测度。实证结果显示,2011年,中国7¹2岁儿童最少享有2种基本机会,所有基本机会全部享有的儿童不到60%。在所考虑的基本机会中,儿童卫生设施的覆盖率、公平性和HOI是最低的,其次是安全饮水;卫生设施和安全饮水的HOI表现出较大的地区和城乡差异。从而导致MHOI较大的地区和城乡差异;动态分析结果表明,近10多年来,中国儿童各种基本机会的覆盖率和公平性都得到了持续的改善,但各基本机会的HOI和MHOI仍存在较大的改善空间。这些量化结论具有一定的政策指导意义。