毛泽东的学习观对建设学习型政党的启示

毛泽东认为,学习是"领导工作、改善工作与建设大党"的迫切需要,是提高党的战斗力量和巩固党执政地位的客观要求。他要求全党尤其是党员领导干部要学习马克思主义理论,学习业务知识、科学文化知识和其它知识与本领,在学习中坚持理论联系实际的学风,善于从实践中学习、向人民群众学习,善于"挤"和"钻",并注重建立学习制度。毛泽东的学习观对我们建设学习型政党具有重要的启示:善于学习是提升党执政能力和水平的重要途径;加强思想理论教育是建设学习型政党的中心环节;端正学风是建设学习型政党的重要前提;党员领导干部率先学习是建设学习型政党的关键;建立健全学习制度是建设学习型政党的根本保证。     

What to Do about Missing Values in Time‐Series Cross‐Section Data

Applications of modern methods for analyzing data with missing values, based primarily on multiple imputation, have in the last half‐decade become common in American politics and political behavior. Scholars in this subset of political science have thus increasingly avoided the biases and inefficiencies caused by ad hoc methods like listwise deletion and best guess imputation. However, researchers in much of comparative politics and international relations, and others with similar data, have been unable to do the same because the best available imputation methods work poorly with the time‐series cross‐section data structures common in these fields. We attempt to rectify this situation with three related developments. First, we build a multiple imputation model that allows smooth time trends, shifts across cross‐sectional units, and correlations over time and space, resulting in far more accurate imputations. Second, we enable analysts to incorporate knowledge from area studies experts via priors on individual missing cell values, rather than on difficult‐to‐interpret model parameters. Third, because these tasks could not be accomplished within existing imputation algorithms, in that they cannot handle as many variables as needed even in the simpler cross‐sectional data for which they were designed, we also develop a new algorithm that substantially expands the range of computationally feasible data types and sizes for which multiple imputation can be used. These developments also make it possible to implement the methods introduced here in freely available open source software that is considerably more reliable than existing algorithms.     

Computer‐Assisted Keyword and Document Set Discovery from Unstructured Text

The (unheralded) first step in many applications of automated text analysis involves selecting keywords to choose documents from a large text corpus for further study. Although all substantive results depend on this choice, researchers usually pick keywords in ad hoc ways that are far from optimal and usually biased. Most seem to think that keyword selection is easy, since they do Google searches every day, but we demonstrate that humans perform exceedingly poorly at this basic task. We offer a better approach, one that also can help with following conversations where participants rapidly innovate language to evade authorities, seek political advantage, or express creativity; generic web searching; eDiscovery; look‐alike modeling; industry and intelligence analysis; and sentiment and topic analysis. We develop a computer‐assisted (as opposed to fully automated or human‐only) statistical approach that suggests keywords from available text without needing structured data as inputs. This framing poses the statistical problem in a new way, which leads to a widely applicable algorithm. Our specific approach is based on training classifiers, extracting information from (rather than correcting) their mistakes, and summarizing results with easy‐to‐understand Boolean search strings. We illustrate how the technique works with analyses of English texts about the Boston Marathon bombings, Chinese social media posts designed to evade censorship, and others.     

Green appropriations through shifting contours of authority and property on a pastoralist commons

The dynamics of customary land rights and displacement among east African pastoralists have been the subject of extensive scholarly inquiry. Displacement to make way for other land uses, government-led privatization schemes, endogenous subdivision to defend land against outsiders, and progressive enclosure of private land in the context of the recent ‘land rush’ are some of the documented trajectories of land tenure change. Less explored is how exogenous authority systems gain traction within common property regimes to re-shape the contours of property. Laikipia, Kenya presents an ideal context for this research given the uniquely ambitious effort to conserve globally significant wildlife on private land. We focus on a group ranch owned collectively by Maa-speaking pastoralists for whom formal title was secured with the support of outside actors vested in conservation, and coupled with efforts to provide financial incentives for conservation. Findings suggest the new governance structure established in the context of land titling has become a pathway through which outside authority gains traction – with consequences for property, sovereignty and the traction of green agendas. Findings deepen understanding of how shifting authority shapes processes of alienation and legitimation, and contribute to ongoing debates about land grabs, tenure formalization and neoliberal approaches to conservation.     

The Psychosocial Well-Being of African Refugees in Winnipeg: Critical Stressors and Coping Strategies

Using a photovoice approach, this study explores stressing factors for African refugees after resettlement in Canada and the strategies they adopt to cope. The study used a purposive sampling procedure to recruit 15 participants (8 women and 7 men). Participants took part in a three-phase process of picture taking, one-on-one interviews, and focus group discussions on the selected pictures. Thematic analysis was applied to analyze the data. Identified stressors included social relationship ruptures, lack of understanding of the new culture, unemployment, and navigating unfamiliar laws and regulations. Coping strategies and recommendations for policies and best practices are discussed.     

Future Uncertainty as a Challenge to Law's Programmes: The Dilemma of Parental Disputes

The article poses the problem of the need for judges to make 'right' decisions. It then describes how judges have attempted to meet this requirement in difficult cases concerning parental disputes over contact with children where there have been allegations of domestic violence. Applying Luhmann's concepts of the legal system, law's function, law's coding and law's programmes (Das Recht der Gesellschaft (Society's Law) 1997), offers a very different perspective on the issue to that of the judiciary or legal commentators who tend to see the issue of the law, determining, with expert help, what is best for the child. Law's function of stabilizing expectations over time obliges it to deal with all matters that come before the courts through the application of 'conditional programmes' and prevents it from applying the 'purpose oriented programmes' of politics and those who see the issue in terms of ideological conflict.     

颈椎端提法治疗神经根型颈椎病62例

目的:观察端提法治疗神经根型颈椎病的临床疗效。方法:将120例患者随机分为两组,治疗组62例采用端提法治疗,对照组58例采用斜扳法治疗。结果:两组总有效率比较,差异有显著性(P<0.05),端提法明显优于斜扳法。结论:端提法治疗神经根型颈椎病临床疗效显著。     

Spillover Effects of FDI via Exports on Innovation Performance of China's High-Technology Industries

Since economic reforms began in 1979, China has sought to overcome the technology gap by absorbing foreign advanced technology through FDI. This paper investigates the impact of FDI via exports on the innovation performance of domestic firms in China's high-tech product industries for the period 1995–2006. By using the panel data analysis, we confirm the hypotheses that: (1) exports of domestic firms have positive spillover effects on innovation performance of local firms either through learning or through competition; (2) R&D activities of foreign-invested enterprises in the host country in an industry are positively associated with innovation performance of domestic firms in that industry; and (3) import of technology, which is important to the establishment of assimilative capability, has positive effects on domestic innovation performance. This provides evidence suggesting that China's domestic firms benefit from spillovers associated with FDI and from export activity of both domestic firms and foreign-invested enterprises.