低阶层者的系统合理化水平更高吗?——基于社会认知视角的考察

系统合理化理论曾提出,低阶层者比高阶层者具有更高的系统合理化水平,即更认可社会体系的合理性、更支持当前社会系统。但这一论断一直存在争议。研究引入社会认知视角,考察低阶层与高阶层者系统合理化水平的差异及其机制。两个分研究得到了共同的结果:(1)低阶层者的系统合理化水平显著低于高阶层者;(2)这一差异是通过贫富归因的中介作用实现的,低阶层者系统合理化水平较低是基于其更少地认为社会贫富差距是由个人内部因素所致;(3)这一中介作用会受到个体控制感水平的调节,当控制感较低时,上述中介作用成立;但当控制感较高时,低阶层会弥合与高阶层贫富归因的差异,中介模型不成立。这些结果支持并发展了系统合理化的认知途径解释和阶层社会认知理论这两个立足于社会认知的理论观点,显示了认知因素在此问题中的重要作用,构建了更整合的阶层—归因—合理化的逻辑,并考虑了其边界因素,对于了解低阶层者的社会心态及其形成机制,包括如何改变此状况,均有一定的现实启示意义。     

内部分配改革的职务评价技术探新

建立工资标准系统的关键是确定职务工资率。职务间可比价值成分变异越大,对确定职务工资率的贡献也越大。根据以上研究设想采用方差分析方法进行职务评价。评价步骤包括：职务描述;对职务要素作主成分分析;对职务样本作聚类分析和判别分析;通过方差分析为可比价值各成分建构权重系数ωｉ。ωｉ‘满足：（１）ωｉ≥０;（２）Σωｉ＝１;（３）ωｉ,间可直接比较;（４）ωｉ的大小与对应的可比价值成分变异一致。最后将职务评价值线性变换为工资率。在线性方程中配一个常数。和调节系数α以适合组织的管理约束条件。配合两个企业内部分配改革的研究结果显示了方差分析法的有效性和实用性。     

Diversity and unity of modularity

Since the publication of Fodor's (1983) The Modularity of Mind, there have been quite a few discussions of cognitive modularity among cognitive scientists. Generally, in those discussions, modularity means a property of specialized cognitive processes or a domain-specific body of information. In actuality, scholars understand modularity in many different ways. Different characterizations of modularity and modules were proposed and discussed, but they created misunderstanding and confusion. In this article, I classified and analyzed different approaches to modularity and argued for the unity of modularity. Modularity is a multidimensional property consisting of features from several dimensions specifying different aspects of cognition. Among those, there are core features of modularity, and these core features form a cross-dimensional unity. Despite the diverse and liberal characterizations, modularity contributes to cognitive science because of the unity of the core features.     

消化内镜医师培训的现状及计算机模拟训练系统的应用

传统的以患者为基础的消化内镜医师培养模式已不能适应消化内镜的快速发展和病患对内镜操作技术的高要求,通过多媒体和虚拟现实技术建立的计算机辅助的内镜模拟训练系统相对于传统的消化内镜医师培训方式是一个巨大进步,它能帮助初学者较快掌握消化内镜诊疗操作的基本技能,使各级消化内镜培训中心的规范化教学成为可能.但是,模拟内镜训练必须结合实际病例的操作才能巩固从模拟内镜得到的内镜操作技能.本文总结了目前消化内镜医师培训的现状,重点对消化内镜模拟训练系统在内镜医师培训中的作用和存在的问题进行探讨,并提出了自己的观点.     

Numerical approximation abilities correlate with and predict informal but not formal mathematics abilities

Previous research has found a relationship between individual differences in children’s precision when nonverbally approximating quantities and their school mathematics performance. School mathematics performance emerges from both informal (e.g., counting) and formal (e.g., knowledge of mathematics facts) abilities. It remains unknown whether approximation precision relates to both of these types of mathematics abilities. In the current study, we assessed the precision of numerical approximation in 85 3- to 7-year-old children four times over a span of 2 years. In addition, at the final time point, we tested children’s informal and formal mathematics abilities using the Test of Early Mathematics Ability (TEMA-3). We found that children’s numerical approximation precision correlated with and predicted their informal, but not formal, mathematics abilities when controlling for age and IQ. These results add to our growing understanding of the relationship between an unlearned nonsymbolic system of quantity representation and the system of mathematics reasoning that children come to master through instruction.     

To Pass or Not to Pass: A Mathematical Model for Competitive Interactions in Rugby Union

ABSTRACT. Predicting behavior has been a main challenge in human movement science. An important step within the theory of coordination dynamics is to find out the rules that govern human behavior by defining order parameters and control parameters that support mathematical models to predict the behavior of a system. Models to describe human coordination have been focused on interlimb coordination and on interpersonal coordination in affiliative tasks but not on competitive tasks. This article aims to present a formal model with two attractors to describe the interactive behavior on a 2v1 system in rugby union. Interpersonal distance and relative velocity critical values were empirically identified and were included as task constraints that define the attractor landscape. It is shown that using relative velocity as a control parameter the model offers reasonable prediction concerning the decision-making process. The model has the plasticity to adapt to other settings where interpersonal distances and relative velocities amongst system components act as significant task constraints.     

Causality in naturally occurring computational systems

Some recent results from the study of chaotic and complex dynamical systems are invoked to assess the status of causality as it applies to naturally occurring computational systems. The evidence would support Bunge's concept of general determinism and therefore the doctrine of semicausalism. A foundation of statistical determinism must be supplemented with other notions such as interactive, emergent, contextual and structural determinism. These forms of determinism are both noncausal and nonreductionist. Contextual factors play a prominent role. Thus the likelihood of finding general methods for the prediction and control of NOCS is low.     

The Theory Of Social–Cultural Genetic Gene (S- c Dna)

It took a long time for humanity to know about biogenetics. And yet its role as a determinant in the living system was not proven until the twentieth century when DNA was discovered. Similarly, it took a long time for humanity to know about culture and civilization. And yet until now there is neither definite standards for differentiating them nor a definition that is commonly acceptable. By taking an evolutionary pluralism as ontology framework and the transdisciplinary research method of the systems science, we have in the new social system model discovered the central rules that govern the social–cultural heredity: Culture–Production–Civilization. The relationship between culture and civilization is exactly that of genotype and phenotype. Culture is the S-cDNA within the social system while civilization is the social phenotype. Culture is a determinant that ultimately determines the existence, stagnation, change, and evolution of the social system.     

Critical factor analysis: An exploratory general model for understanding diverse systems

Critical Factor Analysis (CFA) is presented as an exploratory general model for uniting the sciences and the humanities through identification and use of critical factors common to both. Two primary and eight subordinate critical factors, with corresponding principles, are identified and placed in a model that can be used for prediction, analysis, and design of systems. Use of CFA could conceivably raise system IQ, reduce unnecessary variety, and assist with the general acceptance of systems science.