“Maybe I can teach those kids.” The influence of contextual factors on student teachers’ efficacy beliefs

This study investigated student teachers’ efficacy beliefs, collective teacher efficacy beliefs, and perceived cooperating teachers’ efficacy beliefs. These student teacher beliefs were examined with the focus on context, primarily the school setting (i.e., rural, suburban, and urban), to determine whether setting played a role in the development of the student teachers’ efficacy beliefs. The research participants included 102 student teachers. All three setting groups exhibited significant increases in teachers’ sense of efficacy following student teaching. Urban student teachers exhibited significantly lower perceived collective efficacy. Perceived cooperating teachers’ efficacy was predictive of and positively related to the student teachers’ post-TSES scores.     

Epideictic Rhetoric in the Service of War: George W. Bush on Iraq and the 60th Anniversary of the Victory over Japan

This essay explores the relationship between epideictic discourse and war through the analysis of George W. Bush's August 20, 2005, address at the Naval Air Station near San Diego, ostensibly to commemorate the 60th anniversary of the Allied victory over Japan. The case also serves as an exemplar for how Bush routinely interwove epideictic appeals with collective memories of World War II in order to promote the Iraq war and deflect criticism of his policies there. Bush praised the greatest generation and linked it to the current generation; blamed and dehumanized enemies of the past and present; advocated for war based on “lessons” from the past; and reinforced a shared identity to instill both obligation and confidence.     

From Wall Street to Wellington: Protests in an Era of Digital Ubiquity

The Occupy movement is said to represent a new generation of post-Seattle protests, driven by social networking, and breaking from organizing practices in previous eras. This study analyzes the Occupy Wellington protest to shed light on the role of protests in an era of digital media ubiquity. Based on the participant observation as well as 76 brief interviews, the study explores how activists used digital media, and examines the broader institutional logics that shaped organizing dynamics at the protest. The analysis discusses digital media saturation and the multiple institutional logics that activists drew from in their organizing, including collective action, connective action, aggregation, and networking. We argue that digital ubiquity marks the onset of a profound hybridity rather than an abrupt change in activist organizing practices.     

体育赛事中有关集合行为理论之社会学评价

通过社会学视角从集合行为的内涵、特征、类型、理论分析入手,对传统的体育集合行为理论进行了对比、分析和评价。由于受传统的把集合行为简单地等同于“混乱”的观点影响,人们对集合行为多持否定态度,认为它是破坏社会秩序与稳定的魁首。然而,通过本文分析可以看出:第一,应该用辨证的方法去对待体育赛场的集合行为,在看到集合行为对社会秩序的消极作用的同时,也应关注到正面效应。第二,在强调体育赛事中情境性集合行为的同时,更应加深对功能性集合行为的研究。     

Assessing behavioral data science privacy issues in government artificial intelligence deployment

In today's global culture where the Internet has established itself as the main tool for communication and commerce, the capability to massively analyze and predict citizens' behavior has become a priority for governments in terms of collective intelligence and security. At the same time, in the context of novel possibilities that artificial intelligence (AI) brings to governments in terms of understanding and developing collective behavior analysis, important concerns related to citizens' privacy have emerged. In order to identify the main uses that governments make of AI and to define citizens' concerns about their privacy, in the present study, we undertook a systematic review of the literature, conducted in-depth interviews, and applied data-mining techniques. Based on our results, we classified and discussed the risks to citizens' privacy according to the types of AI strategies used by governments that may affect collective behavior and cause massive behavior modification. Our results revealed 11 uses of AI strategies used by the government to improve their interaction with citizens, organizations in cities, services provided by public institutions or the economy, among other areas. In relation to citizens' privacy when AI is used by governments, we identified 8 topics related to human behavior predictions, intelligence decision making, decision automation, digital surveillance, data privacy law and regulation, and the risk of behavior modification. The paper concludes with a discussion of the development of regulations focused on the ethical design of citizen data collection, where implications for governments are presented aimed at regulating security, ethics, and data privacy. Additionally, we propose a research agenda composed by 16 research questions to be investigated in further research.