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The authors of this book, Eric Shiraev and Richard Sobel, feltthe need to write a textbook on public opinion that would capturethe imaginations of the readers. In order to engage studentsand teachers alike in an active exploration of this domain theychose a combination of a critical thinking approach, an internationallycomparative perspective, and the use of numerous practical examplesof public opinion research on current political and social issues.The book is intended for introductory or middle level undergraduatecourses in public opinion, but could also be beneficial to upperlevel  相似文献   
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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.  相似文献   
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Analysis of Statistical Question Classification for Fact-Based Questions   总被引:1,自引:0,他引:1  
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.  相似文献   
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Analyzing 219 blog posts from 52 self-employed women lifestyle bloggers in North America, this study shows how these digital professionals navigate tensions and communicatively constitute work flexibility. In their narratives, women bloggers employed tension management approaches such as reframing, continual connections, and reflective practice in response to tensions in enacting temporal–spatial, identity, and financial flexibility. Specifically, women followed oxymoronic constructions – disciplined freedom, branded authenticity, and dependable independence – to embrace and transform competing poles of fluidity?structure, authenticity?marketability, and independence?interconnection. Expanding work–life research to the self-employed digital labor context, this study responds to recent calls to uncover more-than tension management strategies in empirical settings and contributes to a tension-centered, contextual, and processual analysis of workplace flexibility construction.  相似文献   
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This study assessed the impact of coworker support on lactating mothers’ breastfeeding self-efficacy after maternity leave. A cross-sectional survey of 1000 working adults assessed effects of perception of fairness, coworkers’ support for breastfeeding colleagues, and ick response on willingness to help mothers needing breaks to pump breastmilk at work. The study also examined how coworker support affected mothers’ self-efficacy to continue breastfeeding. One out of four coworkers showed moderate to strong stigma, saw breaks to pump breastmilk as unfair, and showed less intention to help new mothers. These results suggest that while the majority of coworkers are generally supportive, lactating women are likely to encounter disapproving coworkers who may discourage them from continuing to breastfeed. The data showed that the majority of organizations included in this study have only passively fostered mother-friendly workplaces and could do more to encourage employees to be supportive of lactating colleagues.  相似文献   
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Content analyses of prime-time television provide a picture of predominant cultural stereotypes and social trends. The present research is a quantitative content analysis of social class in popular broadcast and cable television in the United States. This research advances scholarship by systematically analyzing character class in addition to more commonly examined variables such as race and gender. A model for the operationalization of class for quantitative content analyses of mediated texts is offered. This proof of concept study demonstrates the viability of studying media representations of class quantitatively to systematically document patterns of portrayal.  相似文献   
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