论马克思恩格斯与时俱进的理论研究品质

马克思主义与时俱进的理论品质,源于马克思和恩格斯所具有的与时俱进的理论研究品质.他们在理论研究过程中,始终坚持刻苦钻研,不懈追求,致力于攀登科学高峰;始终坚持精心研究,严谨治学,力求思想不断深化完善;并且能够做到审时度势,勇于更新,及时调整革命战略方针;做到与时俱进,随时关注新情况,不断提出新创见.这种与时俱进的理论研究品质,为我们在现时期研究和解决社会主义建设中的新情况新问题,更好地坚持和发展马克思主义,更好对推进中国特色社会主义事业的发展,提供了良好的榜样.     

60年党的建设新的伟大工程的历史沿革及理论创新

新中国成立60年,党的建设伟大工程也走过60个春秋。在此期间,党的建设新的伟大工程的提出、实施经过了两个时期、四个阶段,即党的建设伟大工程和党的建设新的伟大工程两个时期;四个阶段是：党的建设伟大工程的提出,党的建设新的伟大工程的酝酿、确立和创新发展阶段。党的十七大站在新的历史起点上,第一次提出了以改革创新精神全面推进党的建设新的伟大工程的新思想,不仅指明了党的建设的政治方向,而且为新的伟大工程的实施提供了前进动力。     

Can We Make Accurate Long-term Predictions About Patterns of De-escalation in Offending Behavior?

This study consists of a comparative analysis of patterns of de-escalation between ages 17–18 and 32, based on data from two well-known prospective longitudinal studies, the Cambridge Study in Delinquent Development (a study of 411 working-class males in London) and the Montreal Two Samples Longitudinal Study (a sample of 470 adjudicated French-Canadian males). Analyses focus on within-individual change, with individuals serving as their own controls. In this regard, the magnitude of measured change is relative to the past degree of involvement in offending. These results are contrasted with predictors of between-individual differences in offending behavior at age 32. We investigate the respective roles of cognitive predispositions and social bonds in the prediction of patterns of de-escalation, and assess whether it is possible to make relatively long-term predictions (over a 15-year period) about offending in adulthood. Findings suggest that traditional measures of social bonds and cognitive predispositions measured at age 17–18 are generally weak predictors of de-escalation up to age 32. However, these measures are stronger predictors of between-individual differences in offending gravity. These findings highlight the difficulties in making accurate long-term predictions about changes in individual offending patterns early in the criminal career.

劳动关系研究英美模式比较——形成的回顾与20世纪80年代后的变化

美国和英国是劳动关系理论发源地,也是对劳动关系理论发展做出重大贡献的国家。他们为劳动关系研究提供了最基本的研究范式。由于两个国家工业化的道路不同,工会运动发展的路径不同,两国劳动关系的研究在研究范围、研究方法、学者和学科来源以及构成上都存在一定差异。     

质的研究报告——社团组织在社区教育资源整合中的地位与作用

在我国社会发展中,社团组织具有积极力量.而支持与扶持积极、健康的社团组织,并极力促进这些社团组织的壮大与发展,对目前我国政府在社区教育投入不多的现实条件下,是一个很有前景的社会事业.调研表明,在街道的社区教育活动中,居民自发组织起来的各种社团组织在地区的社区教育活动中发挥着无可替代的作用.     

Stage model for female criminals: business school students’ perceptions of white-collar offenders

We know that half of the population in Norway is female, and we know that females represent 6% of the white-collar crime prison population. In the stage model overview, we derive percentages from the literature into the gender model to explain stepwise reduction from 50% to 6%. In our empirical research, we asked two groups of business school students to come up with their own estimates for the stages in the model for female criminals. While estimates from executive students resulted in 3% women in prison, bachelor students’ estimates resulted in 10% women in prison. The most obvious discrepancy between the research literature and our two survey groups is related to relative convictions. Based on the literature, we suggested that female defendants receive more serious convictions because they may perceive and feel more guilt for a crime, for example in terms of regret, shame and depression. Thus women may have a tendency to confess more easily. Both executive students and bachelor students disagree with this estimate of 140%, as they suggest 62% and 69% respectively. One reason for their suggestion of less serious convictions for female white-collar criminals – sometimes labelled pink-collar criminals – might be that family situation and other elements are taken into account before a verdict is passed on a woman. Another substantial discrepancy is related to detection risk. The literature suggests a low detection risk for women, but may be not as low as we estimated at 30%. Both executive and bachelor students believe that the gender difference in detection likelihood is not that formidable, as they suggest 75% and 65% respectively.     

Coming out of the shadow? Studies of local governments in Central and Eastern Europe in European academic research

This article is an analysis of the changing role of research on local governments in Central and Eastern Europe (CEE) within mainstream European studies. It refers to dependency theory (Wallerstein, Prebish) as applied to scientific research. It classifies CEE as being in the semi-periphery of academic research. The empirical analysis consists of two parts: (1) qualitative review of the most important of the comparative studies of European local governments. It includes a discussion on the role of local governments and researchers from CEE in these studies; (2) quantitative based on an analysis of articles published in international journals and citations for those articles in Scopus. The analysis covers 14 countries (all new member states who joined the EU from 2004 onwards, plus the Balkan countries: Albania, Macedonia, and Serbia).     

Investigating Ministry Names for Comparative Policy Analysis: Lessons from Energy Governance

This commentary contends that ministry names offer a valuable construct for furthering the state of comparative policy analysis. Using energy governance as an example, this study shows that ministries’ names are stable in some countries but subject to changes in others. Furthermore, there is variation in the ministries’ names over time. Creating or maintaining a ministry that explicitly mentions “energy” is interpreted as signaling enhanced political attention to this issue, whereas removing the referral to “energy” signals the opposite. The names of ministries responsible for energy matters also affect energy policy outputs. Drawing on 43 OECD and BRICS countries, the empirical analysis shows that countries which have ministries in place that mention “energy” together with “economy” in their names are swifter in adopting renewable energy targets. Ministries that mention “economy” along with “climate” and/or “environment” also have an inclination to be faster in adopting such targets, but the coefficients fail to reach conventional levels of statistical significance. Given this finding, it appears worth pursuing this line of research further.     

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.     

“Vivimos en Jaula de Oro”: The Impact of State-Level Legislation on Immigrant Latino Families

This study sought to learn from Latino immigrant parents which and how state-level immigration policies impact their families. Fifty-four Latino immigrant parents participated in interviews. Constructivist grounded theory methods were used to complete the analysis. Results indicate that fear of detainment, deportation, and family separation affects participants emotionally and behaviorally. Participants experience exploitive practices in the workplace and through traffic infractions. Social support networks are constantly changing and weakened when families relocate in search of immigrant friendly communities. Simultaneously, parents develop strategies to protect their families against stringent immigration enforcement. Implications for practice, policy, and research are discussed.