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.     

New Unionism at the Grassroots: The Amalgamated Clothing Workers of America in Rochester,New York, 1914–29

Labor movements have always found it difficult to reveal and transform the social relations that constitute markets. The growing transnational movements of goods, capital, and services in themselves have therefore not triggered closer trade union cooperation across borders. Transnational collective action also requires conscious choices and a mutual understanding that solidarity across borders is warranted. For this reason, this special issue of Labor History assesses the role that politicization processes play in triggering transnational union action.     

Dismissal of strikers and industrial disputes: the 1985–1987 strike and mass sackings at Silentnight

The 1985–1987 dispute at Silentnight bed factories in the north of England was an exceptionally long and bitter strike, lasting for 20 months from June 1985 until February 1987. A total of 346 workers were sacked for taking part in the strike, which gained a high profile with remarkable levels of support and solidarity action, largely due to its emblematic status as an extreme example of punitive treatment of workers taking industrial action in the period immediately following the defeat of the miners in 1984/1985. Workers took lawful strike action in 1985 over the non-implementation of agreed pay rises and compulsory redundancies counter to an existing agreement between the firm and the union, with the company responding to the dispute with mass dismissals. Pickets were maintained at the two factories in question for nearly two years, with the strikers gaining wide-ranging support from across the labour movement, but the company stood firm against the dismissed strikers who were ultimately defeated. Based on archival research and interviews with participants in the strike, the article analyses in detail how the dispute was sustained for so long, the legal context and the weakness of legal protections for strikers in the period, and the widespread political mobilisation and networks of support and solidarity that arose around the strike and in opposition to the policies of the Conservative government of the day.     

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.     

Who is a Terrorist? Ethnicity,Group Affiliation,and Understandings of Political Violence

What does the American public label as “terrorism?” How do people think about the factors motivating violence, and in turn, the policies that are favored? Using ingroup and outgroup dynamics, we argue that the terrorist label is more readily applied to Arab-Americans than Whites, and to members of militant groups. Moreover, people attribute different motives to violence committed by Arabs versus Whites, and favor different policies in response. We conducted an experiment where we randomly assigned one of six stories about a failed armed attack, each with a different combination of ethnicity and group affiliation. We find that an Arab ethnicity and Islamist group affiliation increase the likelihood of labeling an act as terrorism. Attacks by Whites and members of a White supremacist group are less likely to be labeled terrorism. Rather, Whites are more likely to be called “mass shooters.” Despite never discussing motive, Arab-American attackers are more likely to be ascribed political or religious motives, while White suspects are more likely to be seen as mentally ill. Lastly, an Arab ethnicity increases support for counterterrorism policies and decreases support for mental health care.     

Does online voting change the outcome? Evidence from a multi-mode public policy referendum

Do online and offline voters differ in terms of policy preferences? The growth of Internet voting in recent years has opened up new channels of participation. Whether or not political outcomes change as a consequence of new modes of voting is an open question. Here we analyze all the votes cast both offline (n = 5.7 million) and online (n = 1.3 million) and compare the actual vote choices in a public policy referendum, the world's largest participatory budgeting process, in Rio Grande do Sul in June 2014. In addition to examining aggregate outcomes, we also conducted two surveys to better understand the demographic profiles of who chooses to vote online and offline. We find that policy preferences of online and offline voters are no different, even though our data suggest important demographic differences between offline and online voters.