人"类"中心论与"人类"中心论--对人类中心主义的辩证法解读

人类中心主义可分为人"类"中心主义与"人类"中心主义两种形式.前者主要是就人与自然的关系维度而言的,它以人类与非人类的"类别"为参照,认为属人的"类"才是自然界的"目的中心",是实然的人类中心主义;后者主要是就人与人的关系维度而言的,它以人类的"全部"而不是"部分"为尺度,认为所有的人(不仅包括"代内"的,而且包括"代际"的,甚至包括作为人的"无机身体"的非人类)才是价值世界的"中心",是应然的人类中心主义.由此看来,20多年来学界关于"走进"与"走出"人类中心主义的争论只是一个"伪争论":"走出派"批判的是人"类"中心主义,而"走进派"捍卫的是"人类"中心主义;二者的争论根本不是在同一个层面就同一个问题在同一个语义平台上的对话.     

A qualitative case study of a Korean former addict’s existential self‐interpretation and identity transformation

This study explored the case of a former addict, focusing on his existential self‐interpretation and identity transformation process. This study began from the question of whether philosophical processes related to existential self‐interpretation could lead to the formation of the concept of bottoming out and of identity transformation. To answer this question, the study analyzed the case of a male in his mid‐forties who was addicted to drugs for approximately 30 years and has only recently maintained abstinence. The study used the phenomenological approach to determine the meaning drugs held for him in each stage, and what drug‐related identity he had in each stage. Further, this study identified the integrative implications of these meanings in terms of existential self‐interpretation and identity transformation. The four different identities the man identified for the four stages of his life were juvenile delinquent, gang member, half‐gangster, and breadwinner, and the associated meanings drugs had for him during each period were “glue,” “filthy,” “leeches,” and “abstinence,” respectively. Finally, this study elucidated the integration of these meanings through the hermeneutic circle, identified the social welfare implications of the findings, and developed educational recommendations.     

试论苯教的宗教性质及与藏区民间宗教的关系

文章主要对藏区古老的苯教的宗教属性和特征进行分析,认为在历史上,苯教作为一种宗教的名称出现时,其已经形成系统性的宗教体系,所以我们不能将之列为原始宗教。苯教一般被分为两类,即斯巴苯教与雍仲苯教。其中斯巴苯教与民间宗教有密切的关系,为藏区民间宗教的源流之一。     

浅析学习型社区创建对和谐社区文化建设的推动功能——以常州市钟楼区为个案

文章以常州市钟楼区为个案,分析论证了学习型社区的创建对和谐社区文化建设的推动功能。认为学习型社区的创建推动了社区各主体参与和谐文化建设,丰富了和谐社区文化的人文内涵,促进了和谐社区文化环境建设。     

孔子的学习思想综述

孔子首先是一个好学者,一个成功的学习者,而后才是一个成功的教育者。孔子的学习思想可以用“好学”来概括。孔子“好学”的精义在“求道”。孔子是渊博的学者、仁爱的教者和真诚的长者,是伟大的老师,善于将知识转化为魅力,善于引导人通过学习知识健康地成长。     

Hard thresholding regression

In this paper, we propose the hard thresholding regression (HTR) for estimating high‐dimensional sparse linear regression models. HTR uses a two‐stage convex algorithm to approximate the ?₀‐penalized regression: The first stage calculates a coarse initial estimator, and the second stage identifies the oracle estimator by borrowing information from the first one. Theoretically, the HTR estimator achieves the strong oracle property over a wide range of regularization parameters. Numerical examples and a real data example lend further support to our proposed methodology.     

网络社区发现算法在流动表建模中的设计与应用

代际流动表可以统计子代与其父代社会地位配对数据的交互频数,反映了社会资源占有的优劣势在父子两代人之间的比较。对财富、阶级、特权等社会基本特征演变的实证考察,均依赖于代际流动表的量化分析。对数线性模型是流动表建模分析的基本工具,通过对列联表单元格频数进行拟合,可以识别流动表行分类与列分类之间的强弱交互效应,刻画父子社会地位间的交互结构。本文利用复杂网络社区发现算法分析父子社会地位的关联结构,针对简约对数线性模型拟合精度不够的问题,提出一种新的建模思路：利用社区发现算法对简约对数线性模型的残差列联表进行关联关系挖掘,将发现的社区效应作为附加参数约束引入原对数线性模型,以改善数据的拟合情况。由于该方法只在原简约对数线性模型中增加了一个参数约束,因此仍可以保证建模结果的简洁性及理论意义,同时社区效应补充了原对数线性模型对经验数据结构的解读。论文用此方法对来源于中国综合社会调查数据的经验代际职业流动表进行建模分析,较好地解释了子代职业阶层与父代职业阶层间的关联模式。     

高维大数据基因网络中的社区发现——以NC方法为例

从大量基因中识别出致病基因是大数据下的一个十分重要的高维统计问题。基因间网络结构的存在使得对于致病基因的识别已从单个基因识别扩展到基因模块识别。从基因网络中挖掘出基因模块就是所谓的社区发现（或节点聚类）问题。绝大多数社区发现方法仅利用网络结构信息,而忽略节点本身的信息。Newman和Clauset于2016年提出了一个将二者有机结合的基于统计推断的社区发现方法（简称为NC方法）。本文以NC方法为案例,介绍统计方法在实际基因网络中的应用和取得的成果,并从统计学角度提出了改进措施。通过对NC方法的分析可以看出对于以基因网络为代表的非结构化数据,统计思想和原理在数据分析中仍然处于核心地位。而相应的统计方法则需要针对数据的特点及关心的问题进行相应的调整和优化。     

REAL EXCHANGE RATE,MONETARY POLICY,AND THE U.S. ECONOMY: EVIDENCE FROM A FAVAR MODEL

This paper examines the effects of exchange rate depreciation to the U.S. economy in a factor‐augmented vector autoregression model using monthly data of 148 variables for the post–Bretton Woods period of 1973–2017. Exchange rate shock is identified to reflect exogenous disturbances to the foreign exchange market, and movements in exchange rate that are not accounted for by changes in the U.S. monetary policy. We find that depreciation is expansionary and inflationary to the broad U.S. economy, the current account improves over time conforming to the J‐curve theory, and monetary policy is leaning against the wind. (JEL E3, E5, F31, F32, F41)