第二语言研究的三种常用方法

介绍和探讨美国语言学者ＳＥＬＩＧＥＲ和ＳＨＯＨＩＡＭＹ（１９８９）提出的第二语言研究三种常用方法（定性研究法、描述研究法和实验研究法）。这些研究法借鉴了语言研究文献中经常涉及的人种学、互动分析、认知人类学、交际人种学和符号交际学等知识．旨在帮助研究者揭示语言现象和语言行为的规律,为完善语言教学提供新思路。     

人工智能辅助地方立法的应用与规制

我国地方立法权随着2015年《立法法》的修改扩至所有设区的市，随之掀起地方立法热潮。但目前地方立法的质量普遍不高，存在诸多问题，人工智能技术的应用能为地方立法开辟新路径。基于互联网及大数据的人工智能，能被应用于资料检索、立项论证、立法公开与意见征集、辅助草案起草、立法后评估与备案审查。与此同时，当人工智能被应用于地方立法工作时，需要确立“辅助原则”，规范人工智能地方立法程序的选用标准，限制人工智能地方立法程序的算法，以此来规制人工智能带来的不利影响。     

Public relations and artificial intelligence: It’s not (just) about robots

Organizations of all kinds, as well as their in-house or agency public relations teams, increasingly co-opt Artificial Intelligence (AI) to enhance their capabilities. This paper examines a relatively new topic that has received little scholarly attention: the growing relationship between AI and public relations. It outlines several key roles that AI may play in future, based on trends in other industries, and considers the implications for public relations practitioners, their clients and employers. It therefore launches a dialogue about the diversity and extent of AI’s uses in public relations practice. The paper argues that, to date, commentators have placed too much emphasis on AI’s potential for task automation; AI’s broader technological, economic and societal implications for public relations warrant greater critical attention. This does not imply that practitioners need become expert technologists; rather, they should develop a sufficient understanding of AI’s present and potential uses to be able to offer informed counsel.     

Toward Father‐friendly Parenting Interventions: A Qualitative Study

Levels of father participation in parenting interventions are often very low, yet little is known about the factors which influence father engagement. We aimed to qualitatively explore perceived barriers to, and preferences for, parenting interventions in a community sample of fathers. Forty‐one fathers across nine focus groups were interviewed using a semi‐structured interview. Data were analysed using inductive thematic analysis. Key barriers to father participation identified included: the perception that interventions are mother‐focused; beliefs about gender roles regarding parenting and help‐seeking; mothers’ role as ‘gatekeeper’; lack of knowledge and awareness of parenting interventions; and lack of relevance of interventions. Fathers reported preferences for specific content and intervention features, facilitator characteristics, practical factors, and highlighted the need for father‐targeted recruitment and advertising. Many of the barriers and preferences identified are consistent with previous research; however, fathers’ beliefs and attitudes around gender roles and help‐seeking, as well as the perception that interventions are predominantly mother‐focused, may be key barriers for community fathers. Strategies to overcome these barriers and better meet the needs of fathers in promoting and delivering parenting interventions are discussed.     

Teachers’ Perceptions of Childcare and Preschool Expulsion

Previous research outlines the correlates of childcare expulsion in the USA, yet researchers know little about how these correlates produce expulsion. This in‐depth qualitative analysis of 30 childcare providers’ accounts of expulsion finds a patterned process to expulsion: Teachers search for causes and solutions to challenging behaviours. When interventions fail, overwhelmed teachers shift their focus from ‘struggling’ children to ‘bad families’. Once the explanation of behaviour changes from within to outside of the child, expulsion is imminent. Interventions in teachers’ understandings, not only in children's behaviours, are discussed as a possible way to reduce expulsion.     

人工智能时代企业管理变革的逻辑与分析框架

人工智能作为社会发展和技术创新的产物,已经成为新一轮科技创新和产业变革的核心驱动力,正在对世界经济、社会进步和人民生活产生极其深刻的影响。人工智能的商业应用会改变企业内部运作和生产经营的过程,为企业管理带来了诸多挑战和变革机遇。本文结合人工智能的特征与发展趋势,从管理对象、管理属性、管理决策和管理伦理四个方面对人工智能时代企业管理变革的逻辑进行了梳理,得出如下推论:第一,人工智能时代,被管理者将出现越来越多的"人工智能员工",以"社会人"为中心的管理理论和管理手段的适用性降低,如何管理"人工智能员工"以及协调人类员工与智能机器人的关系将对管理者提出挑战;第二,人工智能时代,管理属性不仅包括管理理论的科学性、管理实践的艺术性,还包括管理过程的技术性;第三,人工智能时代,将出现一批优秀的技术管理者,此时,技术管理者指的不是管理技术的人,而是掌握智能技术的管理者;第四,人工智能时代,管理者的决策环境得到优化,管理活动中的决策准则将由"满意决策"过渡为"最优决策";第五,人工智能时代,管理手段的智能化发展可能会加剧管理效率和管理伦理的冲突,管理者必须提升管理道德,经营过程中强化社会责任的履行;第六,随着人工智能技术发展,政府、社会团体和行业协会有必要从政策、法律与行业标准等多个方面构建人工智能发展伦理的多层次约束机制。     

万物互联时代的“算法”崇拜与资源配置变革

随着万物互联时代的来临,人类资源配置将被各种人工智能“算法”①所取代。万物互联产生的数据将成为社会资源的重要形态,也是支撑人工智能“算法”的重要基础。数据资源的安全、所有权归属、开发利用效率以及保密等重要议题,将成为民族学、经济学、社会学和心理学等相关学科关注和研究的新热点。我国是一个统一的多民族国家,如何将丰富的民族多样化资源转化为支持万物互联资源网络协同优化配置人工智能“算法”的数据,需要从民族历史、文化、生物、信息处理技术等相关学科做深入的理论和实证研究。在万物互联时代,因资源配置方式与配置机制发生变革,经济学一般不再直接求解资源最优配置的策略集,更多是从理论和实证方面研究资源配置中人工智能“算法”的构造原理、构造条件与影响因素。万物互联时代,社会和谐秩序的构建,需要政府建立和维护万物互联网络的安全防护体系,并对资源配置中人工智能技术演变路径作规范和指引。     

行刑一体化与刑罚执行权的新配置

尽管行刑是刑罚运用过程的最后环节,但是,行刑效果如何则直接关系到刑罚目的能否最终实现。科学合理地配置刑罚执行权将有助于行刑效率的提高与刑罚运行机制的完备。通过对当代中国刑罚执行权的现实考察,不难发现,中国现行刑罚执行权配置并不科学合理,存在着行刑权过于分散、相互之间彼此抵牾之处,这严重地影响了刑罚功能的发挥。因此,树立行刑一体化的理念,科学地配置刑罚执行权,乃是中国刑法理论界与实务界共同努力的方向和目标。     

出生人口性别比与和谐社会建设:一个定性和定量分析

20世纪80年代中期以来,中国的出生性别比持续攀升,出生人口性别结构严重失衡。运用定性和定量相结合的研究方法,探讨出生性别比失衡的潜在因素和制度因素。分析结果表明,农村地区出生性别比的失衡与儿子预期的经济价值和文化功用相关。最后提出具有针对性的缓解出生性别比失衡的建议。     

智性与德性交融工具理性与价值理性统一 --未来道德教育发展的走向

文章通过对中西方道德教育优劣异同的辨析,对当代科技发展所造成的诸多问题的反思,认为未来道德教育必须注重智性与德性的高度完善,科学素质与人文素养的相互融合,工具理性与价值理性的有机统一.