Communicating Knowing Through Communities of Practice: Exploring Internal Communicative Processes and Differences Among CoPs

Knowing is an enacted, communicated process that is difficult to observe, let alone manage, in organizations. Communities of practice (CoPs) offer a productive solution for improving knowledge and knowledge management, but the communicative processes that enact CoPs have not been explored, leaving CoPs as an organizational black box. This research extends CoP theory as a means to determine the presence of a CoP and distinguish between various CoPs, and as a practical means to evaluate the communicative processes of organizational knowledge. CoPs enact the communicative nature of knowing through the elements of mutual engagement, negotiation of a joint enterprise, and shared repertoire. Specifically, two groups of volunteers are examined through a combination of participation, observation, and interviews in order to explore CoP theory as a dynamic system for examining and evaluating organizational knowledge.     

个人知识管理的三个重点领域

本文认为，个人灵感知识管理、个人知识项目管理和个人学习管理是个人知识管理的三个重点领域，个人灵感知识管理的重点在于及时管理，个人知识项目管理的重点在于创新管理，个人学习管理的重点在于针对性管理，并分别论述了三者的管理内容和相应的管理方法。     

图书馆软环境发凡(下)

图书馆应当拥有自己的精神资源。图书馆应当营造自己的精神家园。原因是：图书馆的发展光靠管理与制度体系的完善，仍然是不能独善其身的，精神动力的领军作用不可或缺。     

加强期刊间的学习与交流

期刊是作者与编辑智慧的结晶,每种期刊都有值得他人学习、借鉴之处.加强期刊间的相互学习与交流,有助于及时掌握科技动态和作者信息,提高编辑素质,吸取他人之长补自己之短.     

有效的制度供给是高校图书馆事业发展的保障--2002年版《普通高等学校图书馆规程》评述

法治时代，有效的制度供给是推动各项事业发展的前提和保障。2002年新修订的《普通高校图书馆规程》与原来的《规程》相比有较大的进步，它将进一步推动我国高校图书馆事业的发展，为了更好地理解、把握其的精神实质，本文对其进行评述。     

Masculinity(s), the agrarian frontier myth, and cooperative ways of organizing: contradictions and tensions in the experience and enactment of democracy

This study explores how members of the Nebraska Cooperative Council and its constituent producer-owned cooperatives understand and enact democratic ideologies, drawing particular attention to how emergent contradictions and tensions are experienced and managed. The Council serves as a particularly rich context in which to explore traditionally feminine ways of organizing (i.e., cooperative enactment) in a historically male-dominated arena (i.e., agriculture). The dialectic of independence and solidarity became a revealing prism through which to make sense of how members enact cooperative life. This dialectic manifests itself in the discourse of cooperative life as members struggle to manage tensions between efficiency and participation, equality and equity, and the paradox of agency. Communication theorizing about gendered organizing and the history of American agrarianism is used to explore intersections between the social construction of masculinity(s), the agrarian frontier myth, and tensions embedded in the discourse of cooperative organizing.     

论大学图书馆部门组织设计

按照部门组织设计中部门技术框架理论,当今大学图书馆应设立的文献资源建设、信息服务和技术保障三个部门,均会受到技术例行性和技术依存性的影响。文献资源建设部门表现为技艺性技术和序列性依存,信息服务部门表现为例行性技术和集合性依存,技术保障部门则表现为工程性技术和相互性依存。高校馆在调配员工时应充分考虑这些部门的技术特点。图3。表1。参考文献5。     

组织文化与文化塑造——图书馆管理的视角转换

图书馆组织文化表现在三个方面,即物质环境、内部人际关系、价值观念和思维方式。图书馆组织文化要从共同目标、职业精神和职业道德着手设计。图书馆组织文化的培育是一个长期奋斗的过程。参考文献3。     

基于机器学习的自动文本分类模型研究

基于机器学习的方法是自动文本分类中非常重要的一大类方法。本文先给出了形式化的定义，提出了自动文本分类的流程模型，然后选取了支持向量机（Support Vector Machine，SVM）算法作为一个典型例子进行分析，最后作者通过一个中文文本分类实验评价了该算法的效果。     

Analysis of Statistical Question Classification for Fact-Based Questions

Question classification systems play an important role in question answering systems and can be used in a wide range of other domains. The goal of question classification is to accurately assign labels to questions based on expected answer type. Most approaches in the past have relied on matching questions against hand-crafted rules. However, rules require laborious effort to create and often suffer from being too specific. Statistical question classification methods overcome these issues by employing machine learning techniques. We empirically show that a statistical approach is robust and achieves good performance on three diverse data sets with little or no hand tuning. Furthermore, we examine the role different syntactic and semantic features have on performance. We find that semantic features tend to increase performance more than purely syntactic features. Finally, we analyze common causes of misclassification error and provide insight into ways they may be overcome.