Books are silent ambassadors: The Noma award for the translation of Japanese literature

Summary Now more than ever good translations are proving to be vitally important to fulfilling Shoichi Noma’s mission of advancing good relationships between cultures. With the emergence of dozens of world-class Japanese writers, the translators of Japanese literature have acquired a new significance and a new importance. No longer are they required to simply handle the language like an exotic and precious commodity but they must prepare a writer’s work to compete with literature from around the globe and let others understand the issues at their very heart of the Japanese people. Indeed, the selection committee’s choice of Murakami’s Wind-Up Bird Chronicle is an apt example of how literature at its very best can span cultural divides to promote mutual understanding of very complicated and important world issues. Written for Japanese to help them understand the devastation of war, it is a rare and timely book that confronts Japan’s experience head on. Ironically, Noma’s idea that books are silent ambassadors, an idea born from agony and defeat, so many years later is helping the world come together towards a unified vision of peace and understanding. “Literature has been described as a means of exchange between the hearts of people. Literary translation, then, is the building of bridges so that all peoples of the world can interact in this way.” Ye Weiqu, Chinese Institute of Social Studies.     

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.     

Measuring Cultural Dimensions of Classroom Interactions

We trace the development and analyze the generalizability of the Classroom Assessment of Sociocultural Interactions (CASI), an observation system designed to measure cultural dimensions of classroom interactions. We establish CASI measurement properties by analyzing panoramic videos of 4th and 5th grade classrooms from the Measures of Effective Teaching project, and argue for its significance in terms of achievement opportunity for minoritized students and needed evidence regarding equitable teaching. We frame ten dimensions of sociocultural interactions within three domains: Life Applications (i.e., connections with what students know and do outside of school); Self in Group (i.e., interdependence to motivate learning and foster social identities); and Agency (i.e., how freedom and choice are managed).

We demonstrate how measurement error is associated with raters, lessons, and lesson segments, and discuss implications for CASI refinement, as well as appropriate instrument uses to enrich learning opportunities for minoritized students across a variety of classroom settings.     

Technological capital: an alternative to the digital divide

This paper identifies individuals’ accumulated history with Information and Communication Technologies (ICTs) as a replacement for the contested and outdated term ‘digital divide.’ We propose that an individual’s ability to benefit from their technological history consists of four factors: awareness, knowledge, access, and technological capacity of the user’s social collective. Together, these factors make up the individual’s level or amount of Technological Capital. The development of this construct was based on empirical research conducted in Soweto, South Africa, and through an analysis of the literature on assessing individuals’ accumulated histories. The concept of technological capital has the potential for application in fields in which ICTs are used for communication, capacity building, and identifying barriers to adoption of new technologies. The use of the concept may have implications for policy decisions, resource allocation, and future research into differences among individuals’ and communities’ ability to benefit from the introduction of new technologies.     

Assessing the Benefits of Content Notes Enhancements for Digital Audio Resources

Our library has previously investigated the potential impact the addition of contents notes on circulation. In a subsequent study, we found contents notes were the second metadata element most heavily linked to circulation (title was first). Since there has been a marked decline in the use of print resources at our library and a corresponding increase in digital resources, we wanted to know if the addition of contents notes to records for online streaming audio files would result in a similar increase in usage. After enhancing the records, we tracked usage for a period of three months.