警察人性化执法的合理定位及其有效保障——以袭警事件为视角

近几年来,我国各地发生了一系列暴力袭警事件,不仅严重危害了警察的人身安全,而且也是对警察执法权威和执法尊严的挑战,更是对国家法律尊严的藐视和挑衅。随着袭警事件的凸显．有关部门和学者在分析原因时认为。袭警事件频发与公安机关推出的“人性化”执法有关,应当叫停人性化执法。其实．正当的警察人性化执法非但不是袭警案件发生的原因,反而是消减该类案件发生的一项有效举措。当前,警察人性化执法之所以引起争议．并非其本身的问题,而是制度设计存在漏洞。因此,应当走出人性化执法的误区,完善警察人性化执法的保障机制．     

群体性事件处置中“慎用警力”原则研究

在处置群体性事件中,必须讲究政策、讲究策略、讲究方法,坚持“三个慎用”原则。其中,“慎用警力”原则主要适用于非警务活动。非警务活动是公安部的通知通告中出现的非正式用语。当前,我国一些地方公安机关非警务活动所占时间比例已经超越了正常的警务工作时间。应当严禁公安机关违反规定从事非警务活动。进一步规范各类非警务活动。非警务活动的形成渊源有两个：服务型警务和地方政府利益。“镇用警力”原则的具体表现为合理用警、规范用警。     

FAT32文件数据手工恢复方法研究

本文首先对硬盘的基本结构及WINDOWS下的文件系统存储原理做概括性介绍,并且重点分析了FAT32文件系统的硬盘数据组织方式,接着对FAT表上的关于数据的修改和删除过程进行了分析研究,从而用磁盘编辑工具winHex修改和还原了彻底删除的数据。最后扩展数据恢复的运用领域,浅谈了数据恢复在计算机取证中的应用。进而突出数据恢复举足重轻的地位。     

高校学生工作新闻发言人危机处理的媒体应对策略

近年来,高校危机事件频发,引起了社会各方的广泛关注。危机事件如果处理不当,高校多年来建立起来的良好形象会因此受到重创。高校学生工作新闻发言人要掌控学生工作条线的危机事件,谙熟新闻媒体建构与再现危机事件的基本原理与方法,在集体把关的基础上采取相应的危机处理与媒体应对策略。     

Measuring subnational democracy: toward improved regime typologies and theories of regime change

Social scientists have been limited in their work by the paucity of global time series data about subnational institutions and practices. Such data could help scholars refine regime typologies, improve theories of democratization and regime change, better understand subnational democracy, and illuminate issues of development, conflict, and governance. This article addresses the lack of data by introducing 22 subnational measures from a new dataset, Varieties of Democracy. Validity tests demonstrate that the measures’ strengths outweigh their weaknesses. The measures excel in covering all subnational levels for most countries, capturing different elements of subnational elections, and including a variety of dimensions of elections and civil liberties. The measures also offer unmatched global and temporal coverage. The article demonstrates how these strengths can provide scholars with the benefits described above.     

Intra-Campaign Changes in Voting Preferences: The Impact of Media and Party Communication

An increasing number of citizens change and adapt their party preferences during the electoral campaign. We analyze which short-term factors explain intra-campaign changes in voting preferences, focusing on the visibility and tone of news media reporting and party canvassing. Our analyses rely on an integrative data approach, linking data from media content analysis to public opinion data. This enables us to investigate the relative impact of news media reporting as well as party communication. Inherently, we overcome previously identified methodological problems in the study of communication effects on voting behavior. Our findings reveal that campaigns matter: Especially interpersonal party canvassing increases voters’ likelihood to change their voting preferences in favor of the respective party, whereas media effects are limited to quality news outlets and depend on individual voters’ party ambivalence.     

Speaking Like Statesmen or Scientists: Differentiating Congressional and Administrative Views on Data

ABSTRACT

Do legislators and executives speak of data the same way when speaking about public sector data? Public management scholarship and public performance policies often emphasize data-driven decision making as the path to making government efficient and effective. Whether the public policy makers mean the same thing when they speak about data in discussions of data-driven performance and decision making is unknown. In this article, the authors present an analysis of the language of data in conversations about government performance. Two frameworks are identified for the role of data in public performance—the statesman’s and the scientist’s. A corpus-level analysis of over 30 years of government documents is used to demonstrate the differences between these two approaches. This research builds consciously on the work of previous scholars seeking to map the nuances of data-driven performance management policies in the U.S. federal government.     

Data Analysis and Data Visualization as Active Learning in Political Science

While data analysis and the related skills of data management and data visualization are important skills for undergraduates in the field of political science, the process of learning these skills can also be used to develop critical thinking, encourage active and collaborative learning, and to apply knowledge gained in the classroom. Drawing on our experiences using data work in upper-level courses in International Relations and American Politics, we discuss how data work and quantitative analysis can be incorporated into subject-based (i.e., nonmethods specific) courses, and how it can also enhance critical reasoning skills. An evaluation of this approach using direct and indirect assessment is included.     

Sectoral linkages at the beginning of the 21st century: The role of Polish economy in global production structures

This paper provides a first attempt in analyzing the role of Polish economy in the production structure of the global economy in the early years of the 21st century. For the purpose of this analysis, we propose a new approach in which two most important aspects of interindustry linkages in a global input-output model are examined. Contrary to previous studies focused on output-oriented key sector analyses in post-communist CEE economies, we focus on a fundamental policy target variable – income per gross output. In order to analyze the issues in question in a dynamic framework, the empirical results are based on the 2000 and 2014 global intercountry input-output tables for the 28 EU countries as well as 15 other major countries in the world.     

Managing governance complexity and knowledge networks in transparency initiatives: the case of police open data

Public organisations are often described as being subject to types of complexity that result from the interorganisational structure of governance networks. Transparency programmes add another level of complexity due to increased information openness. However, neither the nature of this complexity nor the network management approaches needed for transparency programmes has been conceptually developed. To address this gap, this article brings together governance complexity theory and knowledge management theory. An empirical model is tested using the case of police open data with regression analysis and 22 expert interviews. The results show that institutional and environmental complexity such as budget pressures, legal-normative constraints, and task complexity exert a negative influence on police information openness. However, network knowledge management practices including developing mission focus on people and communication and overcoming organisational boundaries through interorganisational collaboration can counteract these problems of complexity.