迎接第七个辉煌时代

中华民族历史上已经历了六个辉煌时代并进入第七个辉煌时代。这些辉煌时代凝练出中华民族的伟大创造精神。这种伟大的民族精神应当成为民族学科自主创新研究的强大动力和超越性发展的不竭源泉。     

刍议环境权的界定

环境权的合理界定是环境权在法律上创设的前提,目前,学界对环境权的理解存在分歧,这主要体现在环境权的主体、客体和内容三个构成要素上。受现有的社会历史条件限制,环境权的主体只能是人和人的拟制体(即法人、其他组织、社团、国家);环境权的客体可以是物、行为、精神财富和其他权益;环境权的内容则由生态性权利和经济性权利组成。     

Two point priors and Γ-minimax estimating in families of uniform distributions

It is shown that when a parameter lying in a sufficiently small interval is to be estimated in a family of uniform distributions, a two point prior is least favourable under squared error loss. The unique Bayes estimator with respect to this prior is minimax. The Γ-minimax estimator is derived for sets Γ of priors consisting of all priors that give fixed probabilities to two specified subintervals of the parameter space if a two point prior is least favourable in Γ.     

于根元先生的语言规划观

于根元先生的语言规划观主要体现在“语言规范观”“语言主体多样观”“语言服务观”三个方面。在语言规划研究方面,于先生提出了许多具有鲜明特色的重要命题,如语言规范的参照项是交际值、检验规范的成效是对语言生活的影响、语言规范制定时应重视语言的可预测性、规范就是服务等,这些命题如今看来,依然具有学习借鉴的理论意义和实践价值。     

个人数据损害的类型及其确定

依告知同意原则构建的个人数据保护制度面临着过度收集、擅自披露与滥用等问题的严重挑战。公权保护路径存在监管力度、范围及效力的局限性,而传统侵权法上的损害观念架空了数据主体的私法救济权利。因此,为保障数字经济的健康发展,必须扩张侵权法上损害的含义。法律上可予赔偿的个人数据损害应延及两类新型损害：数据主体遭受次生损害的风险,以及社会分选歧视、数据监控、自动化决策等造成的人格利益减损。在确定具体赔偿数额时,为解决风险与人格利益减损所产生的经济量化与举证责任之困境,《个人信息保护法》应采用知识产权法中广泛适用的法定赔偿制度。     

从人域契约到自然契约：生态损害赔偿法理要义之证成与功能拓展

生态损害赔偿作为我国环境保护领域最重要的救济性制度之一,其规范的目的、动机、价值、架构等诸构件决定着生境主体及其权利何以成立的基础性承载和充足性解释。生态损害赔偿制度从人域契约的“人域法”层面确立了“生境”的独特价值、独立的存在权和独立的法律人格;从自然契约的“人际法”层面打破了“人域法”理论的封闭体系,将伦理价值植入环境法律规则之中,摆脱了传统“人域法”对非政治化和非伦理化的唯理主义形式的追求和表达,复兴了中华法系“法律应当伦理化而非工具化”的灵魂与传统,确立了法益保护从“人域优先”向“人际优先”法律价值的转换,丰富了环境法理学的秩序观念和学理原则,拓展了传统人域法“主体中心主义”规则体系的界限与边界,为开启我国环境法从“主体模式保护”向“关系模式保护”生态法律观的变革与价值功能的转换提供了超越性的实践尝试与理论探索。     

Racial classification in criminology: The reproduction of racialized crime

The (re)production of knowledge about crime is cultural in terms of the questions asked, the comparisons made, and the hypotheses selected to explain crime causation. Since criminologists do not operate in a vacuum, any prejudgments, biases, and beliefs acquired before their professional socialization may well persist and affect their approach to research over the course of their academic careers. Because American criminologists live in a society that racializes a number of problem behaviors, including crime, it is conceivable that widely held beliefs about race that predate graduate training will find their way into assumptions about the relationship between race and crime. Such preprofessional beliefs are transformed into facts when they meet with widespread agreement from other criminologists and thus come to be taken for granted in the objective pursuit of knowledge. Crime is racialized, for example, when the criminal behaviors of individual black offenders are understood in terms of racial traits, racial motives, or racial experiences. When traits, motives, or experiences are classified as the property of whole races or racial communities, these conceptions of race assume causal significance in explaining criminal behavior. Because these traits, motives, and experiences are supposedly shared by entire races or race-class categories, the predisposition to criminality becomes generalized beyond individual Black criminals to whole races or racial communities of noncriminal Blacks. When crime is thus racialized, whole communities or whole categories of phenotypically similar individuals are rendered precriminal and morally suspect. In addition, such racializations in academic criminology can be used to justify increased control of individual black criminals in the larger society; these controls can also legitimately be extended to encompass whole communities and whole categories of phenotypically similar persons who are not involved in crime. This paper will address the role that racializing assumptions play in traditional criminological theories.     

Modeling household fertility decisions with generalized Poisson regression

This paper models household fertility decisions by using a generalized Poisson regression model. Since the fertility data used in the paper exhibit under-dispersion, the generalized Poisson regression model has statistical advantages over both standard Poisson and negative binomial regression models, and is suitable for analysis of count data that exhibit either over-dispersion or under-dispersion. The model is estimated by the method of maximum likelihood. Approximate tests for the dispersion and goodness-of-fit measures for comparing alternative models are discussed. Based on observations from the Panel Study of Income Dynamics of 1989 interviewing year, the empirical results support the fertility hypothesis of Becker and Lewis (1973). Received January 7, 1997 /Accepted April 3, 1997     

基于ARTⅡ网络的煤炭资源资产分类研究

本文建立了用于煤炭资源资产分类的ARTⅡ神经网络模型,编制了相应的计算机和软件,并将ARTⅡ模型与模糊分类模型和基于BP网络的分类模型进行了对比分析,实例运行结果表明,用ARTⅡ网络进行分类具有分类稳定、结果可靠等特点。     

信息不完全确定的区域产品模糊区间聚类方法

区域产品分类与选择是区域经济发展中最重要和最基础的工作.在产品选择与分类时,需要确定指标权系数和分类阈值等参数,这在实际应用中是比较困难的.针对这种情况,提出了一种信息不完全确定的区域产品模糊区间聚类方法.该方法构建了指标权系数信息不完全确定的最优模糊区间聚类模型,利用遗传算法和改进的FCM算法联合求解所得优化模型,得到指标权系数、最优聚类中心和最优划分,进而确定各产品所属类别.最后将该方法应用于某区域的产品分类和主导产品的确定中,实例计算说明该方法的可行性和有效性.