A collection of journalist Michele Landsberg's Toronto Star columns, where she was a regular columnist for more than twenty-five years between 1978 and 2005. Michele has chosen her favorite and most relevant columns, using them as a lens to reflect on the the second wave of feminism and the issues facing women then and now. An icon of the feminist movement and a hero to many, through her writing and activism Michele played an important role in fighting for the rights of women, children, and the disenfranchised. Her insights are as powerful for the generation of women who experienced the second wave as for the rising tide of young feminists taking action today.
Michele Landsberg explores the bewildering array of children's books on the market and aims to help the reader choose the best. By analyzing such themes as picture books, humour, fantasy, adventure and books for teenagers, she shows how books can enhance the lives of all children of all ages.
Now in paperback, the nationally acclaimed guide for parents listing the best children's books, complete with a treasury of more than 400 books. Illustrated.
A collection of journalist Michele Landsberg's Toronto Star columns, where she was a regular columnist for more than twenty-five years between 1978 and 2005. Michele has chosen her favorite and most relevant columns, using them as a lens to reflect on the the second wave of feminism and the issues facing women then and now. An icon of the feminist movement and a hero to many, through her writing and activism Michele played an important role in fighting for the rights of women, children, and the disenfranchised. Her insights are as powerful for the generation of women who experienced the second wave as for the rising tide of young feminists taking action today.
Now in paperback, the nationally acclaimed guide for parents listing the best children's books, complete with a treasury of more than 400 books. Illustrated.
The critical challenge of financing development and sustainability is a key focus for the world's international financial institutions, led by the International Monetary Fund, the World Bank, and, above all, the G8. This volume assesses the current practice and perspectives of the major developed world countries that dominate the boards of the IMF and the World Bank and comprise the G8. It looks at the prospects for meeting the Millennium Development Goals in the most impoverished region of Africa, the way trade and finance instruments can help, and how the challenges of energy security and climate change control will affect the results. This volume offers in-depth analysis of: * how the Millennium Development Goals are to be met * North-to-South resource transfers * the challenges of controlling climate control beyond Kyoto In sum, this volume provides a critical and creative examination of what the G8 governments, especially at and after the 2005 Gleneagles summit, have done and what they should do to promote development and sustainability.
Winner, 2023 Best Book Award, Italian Association for the History of Economic Thought One of the most original social scientists of the twentieth century, Albert O. Hirschman led an uncommonly dramatic life. After fleeing Nazi Germany as a youth, he fought in the Spanish Civil War, took part in antifascist activities in Italy, and organized an underground rescue operation in Marseille through which more than 2,000 people, including Marc Chagall, Arthur Koestler, and Hannah Arendt, escaped Europe. Hirschman moved across topics, methodologies, and disciplinary boundaries as fluidly as he did among countries and languages. His work is marked by a deep suspicion of all-encompassing theories, valuing instead doubt and a sensitivity to contingencies and unexpected consequences. In this intellectual biography, the economic historian Michele Alacevich explores the development and trajectory of Hirschman’s characteristic approach to social-scientific questions. He traces the many strands of Hirschman’s thought and their place in his multifaceted body of work, considering their limitations as well as their strengths. Alacevich puts Hirschman’s ideas into context, following his participation in the major intellectual and political debates of his times. He examines Hirschman’s pioneering work in development studies and his analyses of social change, the history of capitalism, and the workings of democracy alongside his activities in the postwar reconstruction of Europe and economic development in Latin America. A compelling intellectual portrait of a profoundly distinctive thinker, this book also reflects on Hirschman’s legacy and lasting influence.
Exploring gender, race, nation and narration, this groundbreaking study isolates how mainstream cinema works to bestow value upon certain lives and specific socio-cultural identities in a hierarchical and partisan way. Dedicated to the popular, to the pol
This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA). Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free) optimization software Manopt. The book includes numerous in-text examples as well as Manopt codes and software guides, which can be applied directly or used as templates for solving similar and new problems. The first two chapters provide an overview and essential background for studying MDA, giving basic information and notations. Next, it considers several sets of matrices routinely used in MDA as parameter spaces, along with their basic topological properties. A brief introduction to matrix (Riemannian) manifolds and optimization methods on them with Manopt complete the MDA prerequisite. The remaining chapters study individual MDA techniques in depth. The number of exercises complement the main text with additional information and occasionally involve open and/or challenging research questions. Suitable fields include computational statistics, data analysis, data mining and data science, as well as theoretical computer science, machine learning and optimization. It is assumed that the readers have some familiarity with MDA and some experience with matrix analysis, computing, and optimization.
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