The Personal is Political: Performing Saint Joan in the Twenty-First Century

Contemporary theater makers aiming to present feminist-inflected interpretation of Shaw\u27s Saint Joan could benefit from the practice of intertextuality: examining feminist playwrights\u27 versions of Joan\u27s story. Two plays by contemporary writers, Carolyn Gage\u27s The Second Coming of Joan of Arc and Martha Kemper\u27s Me, Miss Krause and Joan can illuminate the most pressing contemporary issues, highlighting the ways that Shaw\u27s version overlaps with current feminist concerns, including intersectionality, positionality, and sexual assault. Such a process would empower performers and audience members alike, and would help playwrights, directors, and dramaturgs avoid some of the pitfalls exhibited in the recent rock musical Joan of Arc: Into the Fire. Also, since audiences in the United States and Canada are increasingly female-dominated and plays by women often make more money, such strategies not only could engender more culturally sensitive productions but also possibly even result in a higher box office return

Make Love, Not War?: The Role of the Chorus in Kokoschka’s “Murderer Hope of Women”

In the summer of 1909, two one-acts by the twenty-three-year-old painter Oskar Kokoschka premiered in Vienna in an outdoor theatre built in the garden adjacent to the art museum as part of the second Kunstschau exhibit. The two Kunstschauen (of 1908 and 1909) were organized by Gustav Klimt and his friends in order “to expose the Viennese public to the most shocking and revolutionary forces in contemporary art,” and Kokoschka exhibited in both. The showing of Oskar Kokoschka’s art and his plays cemented his reputation as the most prominent enfant terrible of his day. These exhibitions helped ensure that, by the time he moved to Berlin in 1910, his works would become some of the key contributions to the seminal expressionist journal Der Sturm, gaining Kokoschka a place in the canon of European expressionism

A Geometrical Derivation of a Family of Quantum Speed Limit Results

We derive a family of quantum speed limit results in time independent systems with pure states and a finite dimensional state space, by using a geometric method based on right invariant action functionals on SU(N). The method relates speed limits for implementing quantum gates to bounds on orthogonality times. We reproduce the known result of the Margolus-Levitin theorem, and a known generalisation of the Margolis-Levitin theorem, as special cases of our method, which produces a rich family of other similar speed limit formulas corresponding to positive homogeneous functions on su(n). We discuss the general relationship between speed limits for controlling a quantum state and a system's time evolution operator.Comment: 12 page

Ethnic and Gender Differences in California High School Graduation Rates

Presents data on the disparities in graduation rates among African-American, Asian, Latino/Hispanic, and white students as well as between boys and girls within each group

Susan F. Russell, Associate Professor of Theatre Arts

In this new Next Page column, Susan F. Russell, Associate Professor of Theatre Arts, shares plays she recommends for anyone interested in reading plays for the first time and where Amish romance novels fit into her reading repertoire

Enhancing Undergraduate AI Courses through Machine Learning Projects

It is generally recognized that an undergraduate introductory Artificial Intelligence course is challenging to teach. This is, in part, due to the diverse and seemingly disconnected core topics that are typically covered. The paper presents work funded by the National Science Foundation to address this problem and to enhance the student learning experience in the course. Our work involves the development of an adaptable framework for the presentation of core AI topics through a unifying theme of machine learning. A suite of hands-on semester-long projects are developed, each involving the design and implementation of a learning system that enhances a commonly-deployed application. The projects use machine learning as a unifying theme to tie together the core AI topics. In this paper, we will first provide an overview of our model and the projects being developed and will then present in some detail our experiences with one of the projects – Web User Profiling which we have used in our AI class