从历史贡献研究到职业认同研究——新闻史人物研究的一种新视角

新闻史人物(如名记者、名报人)研究过去30年成果显著,但多集中在对各个人物新闻实践、新闻思想和历史贡献的介绍、概括与评价层面,缺乏对其职业心灵的研究,因而导致研究中没有人,也难以发现真正的记者。本文主张引入职业社会学中的职业认同概念,通过对新闻史人物职业动机、情感、态度、认知、身份等认同要素的考察,呈现其从业过程中的动机、追求、情感甚或苦衷,以还原历史情景,展示历史研究的丰富性。     

非传统安全语境下的认同危机和平台型媒体的认同重构

基于互联网逻辑发展起来的平台型媒体,在组织形态和内容生产方式上具有开放、多元、连接、对话等特点,在信息传播流程重塑和用户关系重构方面起着重要作用.过去,平台型媒体的相关理论探讨和实践都是在常态化社会的语境下进行的,新冠肺炎疫情的暴发使得平台型媒体的机遇和困境随之暴露了出来,对非传统安全语境下平台型媒体的发展方向和出路展...     

图书馆联盟的成本效益分析及决策选择

图书馆联盟的成本是指联盟在开展各项活动和服务过程中投入或消耗的各项资源。包括固定成本与可变成本;有形成本与无形成本;直接成本、间接成本和机会成本。基于联盟功能的成本效益有:藏书协调和合作资源建设的成本效益,馆际互借和文献传递的成本效益,电子资源集团采购的成本效益,联机合作编目的成本效益等。降低联盟成本的措施有:培育广泛的联盟基础,建立相互信任机制;建立完善的绩效评估体制;弘扬联盟文化,追求多方共赢;依法规范联盟的权利和义务,建立动态竞争机制。参考文献7。     

Knowing What the Patron Wants: Using Predictive Analytics to Transform Library Decision Making

Predictive analytics and machine learning are burgeoning areas of professional practice for large corporations especially businesses that offer products and services to customers. The power to better understand the movement of large amounts of data in a company and the capability to deploy that data to meet a customer's needs is invaluable from a services standpoint. Some in libraries have theorized that this type of data usage could possibly be used in a library service environment as well. In this article, we demonstrate how you can develop and use machine learning algorithms and predictive analytics to proactively understand library behavior. Although libraries are good at data collection, we often rely on statics or old data for assessment. Utilizing a machine learning system, called the Automated Library Information Exchange Network (ALIEN), we can better understand the movement of the items in the collection and better serve the needs of our customers the library patrons.     

Disciplinary Points of Departure: How Area Studies Librarians Fit Within the Subject Paradigm

Area Studies librarianship is a unique, interdisciplinary field, faced with an infrequently researched disciplinary-identity crisis. Although its place among traditional subjects creates many challenges, its unique appeal provides many promises as well. In the traditional, subject-based librarianship model, Area Studies librarians have to make very different decisions regarding collection development, liaison, and instruction than their subject specialist colleagues. The article identifies some challenges and promises of the unique position of being responsible for a geographic area rather than any one subject. It also describes the experience of Area Studies librarians at Miami University and their efforts to work together with their subject colleagues toward satisfying the needs of their users.