Consecration and meritocracy in elite business schools: The case of a Swedish student union

Sociologists are paying increasing attention to the business and financial elites that control today's global economy; indeed, there's a great need to understand who these elites are, what they do, and what makes them tick, as individuals, and as a class. But we also need to understand how the economic elites aremade in the current social and economic system, and one significant way of doing this, is by examining elite business schools, that is, the institutions that aim to train and prepare people to assume important leadership and decision-making positions in business, finance and related sectors of critical importance to the management of modern capitalism. Based on the notion of consecration, I empirically examine how the student union of Sweden's premier business school, The Stockholm School of Economics, offers its members a learning environment partly separated from the school, and how this semi-independent organization contributes to making undergraduate students socially, morally and esthetically meritorious for elite jobs in primarily management consulting and finance; a process that is largely shaped by corporate actors that participate formally and informally in the student union activities. The paper contributes to the sociological literature on business schools and higher education and elites, both theoretically through the twin notions of meritocracy and consecration, and empirically through its unique focus on student union activities in an elite business school setting.     

校企融合“一体两翼”创新创业人才培养模式的探索与实践

新时代背景下,高校对创新创业人才培养提出了更高要求,以河北工程大学与晨光生物科技集团有限公司为例,校企深度融合,在人才共用、平台共建、资源共享的基础上,探索与实践“一体两翼”创新创业人才培养模式,以“晨光杯”大学生创新创意大赛为载体,学校的创新创业教育课程体系研究为左翼,企业的创新创业公共实践实训基地建设为右翼,“五双”为创新创业人才培养的保障措施,适应社会需求,提升了学生的综合素质,提高了学生的培养质量,取得了较好的教学效果。     

历史视野下人工智能流派与知识产权法的关系

人工智能的流派大体上可分为符号主义、联结主义和行为主义,它们在历史上与知识产权法各自存在相应的联系.20世纪50年代开始的符号主义人工智能以符号化的知识表征和逻辑推理为主要特点,客观上为知识产权法统一本质的概括提供了新的理论,并可以进行知识产权法专家系统的建构.20世纪80年代兴起的联结主义人工智能以模拟人脑的神经网络和学习过程为主要特点,与知识产权法具有共同的"鼓励学习"宗旨,又在专利客体、创造性审查、创新本质界定和法律伦理等方面提出了挑战.与互联网联系更加密切的行为主义人工智能强调智能行为是适应周围环境的进化行为,其契合了网络时代知识产权立法一定程度的"行为规制"转向,也对相关主体的权利博弈、保护对象的进化升级、智能交互行为的法律规制等带来了挑战.不同流派的人工智能既是知识产权法的调整对象又是其完善工具,它们应当彼此进行深度融合.