Developing critical and empathic capabilities in intercultural education through the VaKE approach

One of the core goals of intercultural education is to develop critical and empathic reflection on social justice, particularly as related to humanistic choices and how individuals can counteract exclusion. The present article analyses the Values and Knowledge Education (VaKE) approach, which is aimed at raising awareness about implicit value-oriented priorities in decision-making. Through the Human Development and Capability Approach, the applicability of VaKE’s didactic principles is analysed in relation to young people’s perspectives on resettlement in Europe. The VaKE method was used at a 2013 summer camp in Austria with a culturally diverse group of young Europeans who were presented with a dilemma story that highlighted the complex issue of providing assistance to asylum seekers. The participants engaged in various knowledge and moral viability checks that enabled them to engage with opposing arguments. The participants evidenced critical reflection and self-scrutiny, as well as affiliation and empathic imagination, regarding problems that are encountered by asylum seekers.     

学前儿童基于重量和声音进行因果推理的发展研究

儿童的推理能力历来都是考察儿童认知发展的重点。本研究探讨了在多种属性刺激下3~5岁儿童基于重量和声音进行 因果推理的表现。结果发现：4岁和5岁儿童选择正确目标物的准确率显著高于3岁儿童；和同时使用声音与重量判断目标物相 比，儿童在单独使用重量或声音的情况下更容易区分目标物。总之，儿童因果推理能力发展的关键期在4岁并且当任务难度较高 的情况下其因果机制极易受到干扰。     

基于加权案例推理模型族的软件成本SVR组合估算

精确地估算软件成本是软件项目成功开发的一个重要保证,直接影响着软件的风险控制和质量保证.为了更好地解决单一估算模型的不足,提出了集成多案例推理(CBR)模型的软件成本组合估算模型.首先,采用六种距离计算公式刻画新旧项目相似度,构建了六种CBR模型,并运用粒子群算法(PSO)来优化CBR模型族中的属性权重.其次,在CBR模型族的基础上,运用支持向量回归机(SVR)模型将不同CBR模型的估算结果进行集成,提高软件成本估算结果的精度.利用Deshamais数据库对模型有效性进行检验,实证结果表明,在六种CBR模型中Euc-CBR、Min-CBR、Gau-CBR和Mah-CBR模型估算结果没有明显差异,Gre-CBR和Man-CBR模型略优;提出的SVR组合估算模型估算精度明显优于单CBR模型和其他线性组合估算模型,能有效提高软件成本的估算精度.     

论我国刑事证据属性理论的重构--刑事证据“四性说”的提出与意义

传统三性说在刑事诉讼中理解和适用均存在困难,尤其是无法准确解释中国法语境中的瑕疵证据、情况说明等证据问题,这是需对传统三性说进行理论完善的主要原因。通过证据认定案件事实的过程,可以划分为证据过程与证明过程。表达证据过程的参数是证据能力和证据力,表达证明过程的参数是证明能力和证明力。按照四属性说,瑕疵证据在法律性质上属于证据力待定,不是证据能力待定或者可补正排除的非法证据;在案件实体法事实证明问题上,应当总体否定情况说明的证明效力,建立明确的证明能力禁止规则。四属性说比三性说更具有知识性和实用性,比两性说更加准确和适用,是一具有理论拓展价值和历史承继性质的证据属性理论。     

论诉讼中的证据推理

诉讼中的证据推理是建构司法裁决三段论小前提的推理,它是事实裁判者在查明案件事实的过程中,为发现或确认证据以及基于证据确认案件事实所进行的推理活动,它包括关于证据的推理与运用证据的推理两个层面,其本质特征在于逻辑上的可废止性.论证模式与叙事模式构成了证据推理的基本模式,这两种模式在证据推理过程中具有不同的特点和作用.     

“Should I Trust the Bank or the Social Movement?” Motivated Reasoning and Debtors' Work to Accept Misinformation

How can people believe corporate and state misinformation even if a social movement organization in their community has been countering this misinformation for years? Why do people knowingly accept misinformation without even being upset about it? I address these questions by analyzing ethnographic data and interviews with 84 Chilean low‐income housing debtors, whom, like many Chileans, are victims of financial misinformation. While the state and banks had significant agency in inducing the unproblematic acceptance of misinformation, debtors also played an active role in the processes. First, debtors had to decide whom to trust, which was not only a cognitive problem about evidence but also a behavioral and practical problem involving risks. Second, debtors engaged in “motivated reasoning”—affect‐driven biased information processing—to dismiss the possibility of being misinformed, to downplay the significance of misinformation, and to direct blame away from misinforming institutions. The latter two practices reduced debtors' anger about being misinformed. The findings have implications for studies of social movement framing and counterinformation, for the cognitive psychology of misinformation, and for the sociology and social psychology of acquiescence.     

Major Accidents (Gray Swans) Likelihood Modeling Using Accident Precursors and Approximate Reasoning

Compared to the remarkable progress in risk analysis of normal accidents, the risk analysis of major accidents has not been so well‐established, partly due to the complexity of such accidents and partly due to low probabilities involved. The issue of low probabilities normally arises from the scarcity of major accidents’ relevant data since such accidents are few and far between. In this work, knowing that major accidents are frequently preceded by accident precursors, a novel precursor‐based methodology has been developed for likelihood modeling of major accidents in critical infrastructures based on a unique combination of accident precursor data, information theory, and approximate reasoning. For this purpose, we have introduced an innovative application of information analysis to identify the most informative near accident of a major accident. The observed data of the near accident were then used to establish predictive scenarios to foresee the occurrence of the major accident. We verified the methodology using offshore blowouts in the Gulf of Mexico, and then demonstrated its application to dam breaches in the United Sates.     

大学英语四级短文听力的信息解码策略

文章通过对信息解码的理论和实践研究分析,深刻探讨解码策略,帮助解决学生在短文听力过程中存在的难以突破的障碍,从而提高学生英语听力理解能力的技巧。     

Moral conformity in online interactions: rational justifications increase influence of peer opinions on moral judgments

Over the last decade, social media has increasingly been used as a platform for political and moral discourse. We investigate whether conformity, specifically concerning moral attitudes, occurs in these virtual environments apart from face-to-face interactions. Participants took an online survey and saw either statistical information about the frequency of certain responses, as one might see on social media (Study 1), or arguments that defend the responses in either a rational or emotional way (Study 2). Our results show that social information shaped moral judgments, even in an impersonal digital setting. Furthermore, rational arguments were more effective at eliciting conformity than emotional arguments. We discuss the implications of these results for theories of moral judgment that prioritize emotional responses.     

An Integrated Risk Assessment Model of Township‐Scaled Land Subsidence Based on an Evidential Reasoning Algorithm and Fuzzy Set Theory

Land subsidence risk assessment (LSRA) is a multi‐attribute decision analysis (MADA) problem and is often characterized by both quantitative and qualitative attributes with various types of uncertainty. Therefore, the problem needs to be modeled and analyzed using methods that can handle uncertainty. In this article, we propose an integrated assessment model based on the evidential reasoning (ER) algorithm and fuzzy set theory. The assessment model is structured as a hierarchical framework that regards land subsidence risk as a composite of two key factors: hazard and vulnerability. These factors can be described by a set of basic indicators defined by assessment grades with attributes for transforming both numerical data and subjective judgments into a belief structure. The factor‐level attributes of hazard and vulnerability are combined using the ER algorithm, which is based on the information from a belief structure calculated by the Dempster‐Shafer (D‐S) theory, and a distributed fuzzy belief structure calculated by fuzzy set theory. The results from the combined algorithms yield distributed assessment grade matrices. The application of the model to the Xixi‐Chengnan area, China, illustrates its usefulness and validity for LSRA. The model utilizes a combination of all types of evidence, including all assessment information—quantitative or qualitative, complete or incomplete, and precise or imprecise—to provide assessment grades that define risk assessment on the basis of hazard and vulnerability. The results will enable risk managers to apply different risk prevention measures and mitigation planning based on the calculated risk states.