“America Will Not Tolerate Slave Traders”: Counter-Trafficking Policies and US Power

The US government has implemented an ambitious set of policies designed to combat human trafficking and sex trafficking in women and girls in particular. This article argues that anti-trafficking discourse and policy can be understood as a project to sustain and strengthen US power. This power has been wielded through the use of foreign aid, which influences the actions of both state and non-state actors overseas. Existing policies reinforce unilateralism and executive-branch dominance. Policymakers have also used gender strategically to moralize their actions and assert global leadership on this issue. Gender is thus deployed to serve US interests.     

Small-Sample Improved Seasonal Unit Root Tests for Trending and Breaking Series

In this article three unit root tests that allow for a break in both the seasonal mean and linear trend of the data are proposed. The tests, which can be seen as small-sample corrected versions of already known asymptotic tests, are shown to perform very well in simulations, and much better than their asymptotic counterparts.     

Small Area Estimation Using Estimated Population Level Auxiliary Data

Unit level linear mixed models are often used in small area estimation (SAE), and the empirical best linear unbiased prediction (EBLUP) is widely used for the estimation of small area means under such models. However, EBLUP requires population level auxiliary data, atleast area specific aggregated values. Sometimes population level auxiliary data is either not available or not consistent with the survey data. We describe a SAE method that uses estimated population auxiliary information. Empirical results show that proposed method for SAE produces an efficient set of small area estimates.     

Path to “Stardom” in Globally Distributed Hybrid Teams: An Examination of a Knowledge‐Centered Perspective using Social Network Analysis

Although distributed teams have been researched extensively in information systems and decision science disciplines, a review of the literature suggests that the dominant focus has been on understanding the factors affecting performance at the team level. There has however been an increasing recognition that specific individuals within such teams are often critical to the team's performance. Consequently, existing knowledge about such teams may be enhanced by examining the factors that affect the performance of individual team members. This study attempts to address this need by identifying individuals who emerge as “stars” in globally distributed teams involved in knowledge work such as information systems development (ISD). Specifically, the study takes a knowledge‐centered view in explaining which factors lead to “stardom” in such teams. Further, it adopts a social network approach consistent with the core principles of structural/relational analysis in developing and empirically validating the research model. Data from U.S.–Scandinavia self‐managed “hybrid” teams engaged in systems development were used to deductively test the proposed model. The overall study has several implications for group decision making: (i) the study focuses on stars within distributed teams, who play an important role in shaping group decision making, and emerge as a result of a negotiated/consensual decision making within egalitarian teams; (ii) an examination of emergent stars from the team members’ point of view reflects the collective acceptance and support dimension decision‐making contexts identified in prior literature; (iii) finally, the study suggests that the social network analysis technique using relational data can be a tool for a democratic decision‐making technique within groups.     

一致性分数阶优化灰色模型及其应用

传统的分数阶灰色预测模型在时间序列预测中具有较好的适应性和预测的有效性,但其累加和差分计算式比较复杂。一致性分数阶累加相对于一般的分数阶累加,形式更简单,更便于计算和理论推导。为了提高模型的适应性和预测能力,文章在CFGM(1,1)白化方程中引入一个新的可变系数,扩大了原有白化方程的适用范围,并在此基础上构建了一致性分数阶优化灰色模型,即CFOGM(1,1)模型。最优一致性分数阶阶数和可变系数通过PSO算法最小化平均相对误差获得。将构建的模型运用到两个实例中并与其他经典的灰色预测模型进行对比,结果表明所提出的模型具有较高的拟合和预测精度。     

基于MA S 的群决策支持系统研究

群决策支持系统(GDSS) 与传统的决策支持系统(DSS) 在体系结构和工作方式上有着较 大的差异. 在网络环境中, 组织的决策需要一种开放的GDSS 体系结构和协作的工作方式. 本 文提出一种基于MA S 的GDSS 体系结构, 以及在这种体系结构下的协同决策的模型. 在此基 础上开发了一个GDSS 的原型系统, 并对今后的研究方向进行了展望.     

试论中国共产党对社会主义所有制问题认识的演变过程

所有制问题是经济体制系统诸要素中最重要的因素之一，是区别人类历史上所经历过的各种社会经济制度的首要标志。研究党的十一届三中全会之前中国社会所有制结构的变迁以及之后所有制理论的创新与发展，对深化认识和理解建设中国特色社会主义的历史进程有重要意义。     

高校图书馆数字化参考咨询服务的思考

论述了数字化参考咨询服务的概念和类型 ,并在列举了国内外几个典型的数字化参考咨询实例的基础上 ,提出了目前高校图书馆数字化参考咨询服务系统构建应具备的功能模块和服务发展方向。     

明朝治藏政策成因述要

明王朝的治藏政策之所以是温和而富有成效的,不应孤立地从明朝的国力强弱去评判,这与在当时占统治地位之朱学“王道”思想,还有草原文化的冲击及当时西藏地方的政教发展形势等均有莫大的关系。在主观层面上,明王朝从一开始就自觉地走上了一条与前代崇尚法家、醉心于开疆拓土所不同的发展思路。历史地看,这既是一个具有高度封建文明的中华民族的理性选择,也是中华民族多元一体历史演进的必然结果。     

论熊十力哲学中道德主体的创新性

传统儒家的道德主体有静止、保守的趋势 ,熊十力哲学的目的之一 ,在于为传统纠偏 ,树立作为道德主体的人的能动性和创新性。他用“翕”、“辟”两个概念构造起恒动不已的宇宙本体 ,并强调了辟对于翕的重要性。在此基础上 ,他又论证了生相对于灭的优先性。他打通了本体界、现象界和道德界 ,为道德主体的能动性和创新性确立了坚实的基础。而这种创新性从道德个体的修养方向、方式及其与社会既有伦理规范间的关系两个向度塑造着人的新形象