Non-finite loss and challenges to communication between parents and professionals

Elizabeth Bruce PhD, a psychologist in private practice, and Cynthia Schultz PhD, honorary associate at LaTrobe University, both live and work in Australia. Their work on supporting parents who have children with special needs, however, has been published around the world. In this article Bruce and Schultz explore the notion of 'non-finite loss', defined as the ongoing sense of grief experienced by parents caring for children with severe disabilities. The authors discuss the issues that professionals need to consider when working with parents in these circumstances. The article closes with a set of recommendations for promoting more effective partnerships between parents and professionals.     

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.     

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.     

Demonstrating Library Impact Through Acknowledgment: An Examination of Acknowledgments in Theses and Dissertations

Academic libraries are increasingly seeking ways to demonstrate their impact on student learning. Acknowledgments - formal statements of indebtedness – in graduate theses and dissertations provide a rather unexplored area for demonstrating impact of the academic library on student learning. This study uses quantitative and qualitative methods to characterize acknowledgments of the Texas A&M University Libraries (TAMU Libraries) in theses and dissertations, both overall and for three disciplines specifically: civil engineering, geography, and history. This study also searched for mentions of the TAMU Libraries throughout the entire body of theses and dissertations. Overall, acknowledgments to the TAMU Libraries in theses and dissertations were less than 1%, though acknowledgments were found in all three disciplines with over a quarter of the history theses and dissertations containing an acknowledgment to libraries. There was no statistically significant difference found between the numbers of acknowledgments in theses versus dissertations. Acknowledgments to the TAMU Libraries were found in the theses and dissertations of 28 different departments. Mentions to the TAMU Libraries – not necessarily a formal acknowledgment – were found throughout the text of theses and dissertations with most concentrated in the acknowledgment, method, and bibliography sections.     

Explaining Media Choice: The Role of Issue-Specific Engagement in Predicting Interest-Based and Partisan Selectivity

This study analyzes the predictors of 2 types of media selectivity: interest-based (i.e., choice of entertainment over politics) and partisan (i.e., choice of pro-attitudinal over counter-attitudinal or balanced news). Relying on a large survey-based experiment, we find that issue-specific engagement variables, including perceived issue understanding, issue importance, and issue attitude strength, predict interest-based and partisan selectivity above and beyond the influence of general political knowledge, news interest, and strength of political leanings. These results show that the drivers of selectivity are more complex than general political attributes; rather, they are contextual and reflect people’s engagement with particular issues.     

Supreme Court Review (1960–2009): A Bibliometrical Study

Supreme Court Review is a faculty-edited legal periodical published by the University of Chicago Law School. This periodical is a highly read and cited law review in law, history, and political science. This article applies bibliometrics to a study of the 438 articles that are published in the periodical over a 50-year period. It is analysis of the number of articles by volume, pages, footnotes, authorship by sex, by individual, by institution, and most-cited articles.     

A historical analysis of academic development using the theoretical lens of Pierre Bourdieu

This paper provides a history of academic development by examining how a South African institution coped with the potent social forces confronting it before the collapse of apartheid. Theoretically, it draws on the framework of Pierre Bourdieu and engages with a paper written a decade ago by Naidoo, who also used Bourdieu to understand institutional change in South Africa in the late 1980s. Through contrasting the habitus of two professors, it is argued that academic development helps to preserve the autonomy of the university field by refracting forces impinging on it from the economic and political realms.     

Wrangling math from Microsoft Word into JATS XML workflows

The majority of today's scholarly papers are authored in Microsoft Word. Some of those papers include simple and/or complex math. Authors have at their disposal multiple means to insert equations in Word documents, including several of Word's native equation editors and third‐party applications, such as Design Science's MathType. Building workflows that smoothly and accurately transform all of these formats into the appropriate XML markup for use in multiple rendering environments has many challenges. This paper clarifies the different forms of equations that can be encountered in Word documents and discusses the issues and idiosyncrasies of converting these various forms to MathML, LaTeX, and/or images in the JATS XML model. It also touches on workflow alternatives for handling equations in various rendering environments and how those downstream requirements may affect the means of equation extraction from Word documents.