新媒体视角下廊坊市社会舆情教育与管理研究

新媒体对社会舆情具有双重影响：一方面,公众可以借此学习各种知识,关注社会发展,推动社会进步;另一方面,新媒体使日常舆论引导难度逐渐增大,政府公信力受到影响,网络信息安全面临挑战。面对此种情况,针对新媒体认识不足等突出问题,廊坊市应采取有效措施,优化社会舆论环境,建立新媒体舆情监测预警系统,科学调解控制社会舆情,拓宽公众表达渠道,促进社会政治经济健康发展。     

Piloting a social work doctoral programme: Ukraine’s vignette

In Ukraine the last decade was marked by significant changes in social work education development that evidence its academization and professionalization. International cooperation was a useful catalyst in these processes. The above has specific implications for developing the three cycles of social work education in Ukraine – Bachelor, Master and PhD programmes. Implemented in 2009–2012, an international project involving six European countries supported piloting of the first PhD programme in social work in Ukraine. This programme encountered a set of challenges that originated from the particularities of social work education in Ukraine and the broader academic context. Participatory observations and reflections demonstrate the challenges evident in Global North–Global South professional relations. Ukrainian social work education history evidences permanent localization of the international standards and experiences that have had various effects on social work academization.     

Named social workers – better social work for learning disabled people?

In 2016, the Department of Health in England announced that it would pilot the role of Named Social Worker. We chose to be part of the pilot because we regularly witness too many people’s lives being defined by restrictions imposed by professionals. Erroneous associations between the concepts of risk and danger have become the norm in how learning disabled people’s decision-making is perceived and managed. However, we believe social workers educated in the social model of disability and grounded more generally in disability studies offer an alternative perspective. The pilot is an opportunity to test our hypothesis that social work practice rooted in social model thinking can successfully challenge oppressive practice and disabling barriers, thus providing the opportunity for social workers to genuinely be ‘servants not masters’ in the lives of disabled people.     

What is gained and what is left to be done when content analysis is added to network analysis in the study of a social movement: Twitter use during Gezi Park

As social movements relying on the weak ties found in social networks have spread around the world, researchers have taken several approaches to understanding how networks function in such instances as the Arab Spring. While social scientists have primarily relied on survey or content analysis methodology, network scientists have used social network analysis. This research combines content analysis with the automated techniques of network analysis to determine the roles played by those using Twitter to communicate during the Turkish Gezi Park uprising. Based on a network analysis of nearly 2.4 million tweets and a content analysis of a subset of 5126 of those tweets, we found that information sharing was by far the most common use of the tweets and retweets, while tweets that indicated leadership of the movement constituted a small percentage of the overall number of tweets. Using automated techniques, we experimented with coded variables from content analysis to compute the most discriminative tokens and to predict values for each variable using only textual information. We achieved 0.61 precision on identifying types of shared information. Our results on detecting the position of user in the protest and purpose of the tweets achieved 0.42 and 0.33 precision, respectively, illustrating the necessity of user cooperation and the shortcomings of automated techniques. Based on annotated values of user tweets, we computed similarities between users considering their information production and consumption. User similarities are used to compute clusters of individuals with similar behaviors, and we interpreted average activities for those groups.     

Gender identity and lexical variation in social media

We present a study of the relationship between gender, linguistic style, and social networks, using a novel corpus of 14,000 Twitter users. Prior quantitative work on gender often treats this social variable as a female/male binary; we argue for a more nuanced approach. By clustering Twitter users, we find a natural decomposition of the dataset into various styles and topical interests. Many clusters have strong gender orientations, but their use of linguistic resources sometimes directly conflicts with the population‐level language statistics. We view these clusters as a more accurate reflection of the multifaceted nature of gendered language styles. Previous corpus‐based work has also had little to say about individuals whose linguistic styles defy population‐level gender patterns. To identify such individuals, we train a statistical classifier, and measure the classifier confidence for each individual in the dataset. Examining individuals whose language does not match the classifier's model for their gender, we find that they have social networks that include significantly fewer same‐gender social connections and that, in general, social network homophily is correlated with the use of same‐gender language markers. Pairing computational methods and social theory thus offers a new perspective on how gender emerges as individuals position themselves relative to audiences, topics, and mainstream gender norms.     

传统民居色彩研究

针对传统民居色彩进行专项研究,试图通过一新的层面,即以民居色彩为一个整体效应来分析其形成因素和特征.依托四季色彩理论、色彩学、色彩地理学等相关学科,提出了色彩群理念,辨析了色彩群的内涵以及外延;并以不同的观察状态分析不同地域传统民居色彩群的特质.     

强制保险能否提高保险市场效率

文章以社会福利为衡量保险市场效率的标准,分析实施强制保险是否有助于保险市场效率的提高。文章首先证明了在信息不对称的保险市场中存在着市场失灵现象;然后通过比较实施强制保险前后社会福利的差异,得出结论:实施强制保险有助于社会福利的改善,从而可以提高保险市场效率。     

The Importance of “Empty Gestures” in Recovery: Being Human Together

What do clients/patients want or value from their encounters with healthcare providers? Based on ethnographic research conducted with individuals suffering from drug addiction and mental health issues, this article argues that clients/patients treasure “everyday” or “human” interaction with medical staff. Everydayness is accomplished through three generic social processes: **co‐silence, inclusion in back‐stage activity, and physical dramatizations of authenticity. These processes and other ordinary interactional strategies for “being human together” should be seen as vital tools for recovery.     

大学合法性危机：大学治理的原因探究

现代社会对大学的自我合法性证明有两个核心要求：社会效能和学术自由，文章从社会效能和学术自由这两个方面的要求探究了大学治理产生的原因，并在此基础上得出大学合法性问题是一个由来已久的问题，大学合法性问题不仅体现在其因环境不同的变化性，还体现在其因遗传的不变性，大学治理是现代大学诉求其合法性的时代产物等结论。