Includes entries for maps and atlases.

Content analysis is a complex research methodology. This book provides an accessible text for upper level undergraduates and graduate students, comprising step-by-step instructions and practical advice.

Historically Canadians have considered themselves to be more or less free of racial prejudice. Although this conception has been challenged in recent years, it has not been completely dispelled. In Colour-Coded, Constance Backhouse illustrates the tenacious hold that white supremacy had on our legal system in the first half of this century, and underscores the damaging legacy of inequality that continues today. Backhouse presents detailed narratives of six court cases, each giving evidence of blatant racism created and enforced through law. The cases focus on Aboriginal, Inuit, Chinese-Canadian, and African-Canadian individuals, taking us from the criminal prosecution of traditional Aboriginal dance to the trial of members of the 'Ku Klux Klan of Kanada.' From thousands of possibilities, Backhouse has selected studies that constitute central moments in the legal history of race in Canada. Her selection also considers a wide range of legal forums, including administrative rulings by municipal councils, criminal trials before police magistrates, and criminal and civil cases heard by the highest courts in the provinces and by the Supreme Court of Canada. The extensive and detailed documentation presented here leaves no doubt that the Canadian legal system played a dominant role in creating and preserving racial discrimination. A central message of this book is that racism is deeply embedded in Canadian history despite Canada's reputation as a raceless society. Winner of the Joseph Brant Award, presented by the Ontario Historical Society

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.