基于可视化交互式遗传算法中映射方法的分析与研究

提出了一种对基于可视化交互式遗传算法中的非线性映射方法,结合遗传算法在n维空间上快速搜索的优点和人类在二维空间上把握数据整体分布的能力,采用VISOR算法既降低了计算的复杂度,又使数据空间和输出空间上数据点与聚类中心间的距离信息保持相似.仿真结果验证了该方法的可靠性、稳定性和快速性.     

Evaluating unintended program outcomes through Ripple Effects Mapping (REM): Application of REM using grounded theory

Several evaluation models exist for investigating unintended outcomes, including goal-free and systems evaluation. Yet methods for collecting and analyzing data on unintended outcomes remain under-utilized. Ripple Effects Mapping (REM) is a promising qualitative evaluation method with a wide range of program planning and evaluation applications. In situations where program results are likely to occur over time within complex settings, this method is useful for uncovering both intended and unintended outcomes. REM applies an Appreciative Inquiry facilitation technique to engage stakeholders in visually mapping sequences of program outcomes. Although it has been used to evaluate community development and health promotion initiatives, further methodological guidance for applying REM is still needed. The purpose of this paper is to contribute to the methodological development of evaluating unintended outcomes and extend the foundations of REM by describing steps for integrating it with grounded theory.     

Engaging girls with disabilities in Vietnam: making their voices count

This article addresses a theoretical and methodological intervention in support of inclusion for girls with disabilities in Vietnam. Drawing on an internationally collaborative project, Monitoring Educational Rights for Girls with Disabilities in Vietnamese schools, we critically engage the politics of inclusion and exclusion of girls with disabilities in education. Using a critical methodological framework that foregrounds the lived experiences of 21 girls with disabilities in Vietnam, we ask how we might strengthen participatory knowledge production through the work of monitoring rights in order to inform practices and policies related to disability and education. Through a preliminary analysis of the visual data emerging from our participatory visual methodologies, we demonstrate how these methods can contribute to constructing more inclusive practices and policies for girls with disabilities in both the Vietnamese and the global contexts.     

大学英语选修课程的“娱乐化”教学问题及应对策略

大学英语教育改革已经从教材引导模式转向课程主导模式。然而,大学英语选修课在课程定位、教学评价和课程评估等方面存在质量下滑的潜在危机。本文借助体验教学法的理论视角,分析大学英语选修课的“娱乐化”教学问题及应对策略,探讨以学习者为主的创新课程模式,提倡教学活动从娱乐到体验的视域转向,从认知到思维的范式转型,以及从智商到情商的观念重构。     

基于原型化方法的利益相关者共同治理机制的设计

利益相关者共同参与企业治理可以减少交易费用,降低代理成本,提高企业绩效。但是,共同治理机制在具体实践中可操作性差,在系统设计上缺少方法论支持。鉴于此,在共同治理机制的设计中引入计算机信息技术中的原型化方法思想,以动态定义技术解决了共同治理机制可操作性差的问题,并设计了一个开放的、动态的共同治理自组织系统。     

Using feminist ‘reflexive practice’ to explore stress and well-being of local researchers in South Sudan

ABSTRACT

This article discusses using feminist methods of reflexive practice to support and learn about the well-being of researchers working on gender-based violence research in South Sudan. In particular, we focus on the experiences of South Sudanese researchers undertaking this research in their own country. We share key findings and offer personal reflections on and suggestions for improving fieldwork. As feminists ourselves we placed a high value on sharing personal reflections on emotional challenges that the research team faced. However, our South Sudanese colleagues did not find these approaches very useful, preferring to discuss technical challenges, and placed emphasis on the importance of professionalism. This experience suggests the need for more culturally diverse feminist research tools, and for better recognition of the crucial role played by national researchers in international research projects. We end with recommendations.     

我国统计学研究的知识图谱分析

以CSSCI数据库有关统计学科的4,246条文献和其所包含的14,147条参考文献为研究对象,通过CiteSpaceⅡ对相关引文数据和主题词数据进行分析和处理,以知识图谱的方式,梳理了统计学具有影响力的机构、作者、期刊以及统计学研究前沿与热点。     

Small area estimation of proportions under a spatial dependent aggregated level random effects model

This paper describes small area estimation (SAE) of proportions under a spatial dependent generalized linear mixed model using aggregated level data. The SAE is also applied to produce reliable district level estimates and mapping of incidence of indebtedness in the State of Uttar Pradesh in India using debt and investment survey data collected by National Sample Survey Office (NSSO) and the secondary data from the Census. The results show a significant improvement in precision of model-based estimates generated by SAE as compared to direct estimates. The estimates generated by incorporating spatial information are more efficient than the one generated by ignoring this information.