Library school education for medical librarianship.

This paper reviews the current situation in library school education for medical librarianship in the United States and Canada based on information from a questionnaire sent to teachers of courses in medical librarianship in accredited library schools. Since 1939, when the first course devoted entirely to medical librarianship was offered at Columbia University, courses have been introduced into the curricula of at least forty-seven of the ALA-accredited library schools. In 1978 there were seventy courses available through forty-seven library schools. Possibilities for specialization in medical librarianship are examined. Course content is reviewed. Implications of the MLA certification examination for library school courses are explored.     

Editorial

This issue of the Journal contains three interesting articlesabout central aspects of public opinion research, as well asan equal number of research notes that reflect the range oftopics that interest all public opinion researchers. Toshio Takeshita takes a turn at reconceptualizing agenda-settingstudies, using a taxonomy     

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.