Intersectionality theory has emerged over the past thirty years as a way to think about the avenues by which inequalities (most often dealing with, but not limited to, race, gender, class and sexuality) are produced. Rather than seeing such categories as signaling distinct identities that can be adopted, imposed or rejected, intersectionality theory considers the logic by which each of these categories is socially constructed as well as how they operate within the diffusion of power relations. In other words, social and political power are conferred through categories of identity, and these identities bear vastly material effects. Rather than look at inequalities as a relationship between those at the center and those on the margins, intersectionality maps the relative ways in which identity politics create power. Though intersectionality theory has emerged as a highly influential school of thought in ethnic studies, gender studies, law, political science, sociology and psychology, no scholarship to date exists on the evolution of the theory. In the absence of a comprehensive intellectual history of the theory, it is often discussed in vague, ahistorical terms. And while scholars have called for greater specificity and attention to the historical foundations of intersectionality theory, their idea of the history to be included is generally limited to the particular currents in the United States. This book seeks to remedy the vagueness and murkiness attributed to intersectionality by attending to the historical, geographical, and cross-disciplinary myopia afflicting current intersectionality scholarship. This comprehensive intellectual history is an agenda-setting work for the theory.

Nine-year-old Hannah, a Quaker living in Philadelphia just before the Civil War, longs to have some fashionable dresses like other girls but comes to appreciate her heritage and its plain dressing when her family saves the life of a runaway slave.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

For undergraduate and graduate courses in marketing management. Stay on the cutting-edge with the gold standard text that reflects the latest in marketing theory and practice. The world of marketing is changing everyday-and in order for students to have a competitive edge, they need a textbook that reflects the best of today's marketing theory and practices. Marketing Management is the gold standard marketing text because its content and organization consistently reflect the latest changes in today's marketing theory and practice. .

Find your way back to happiness from wherever you are with self-help guru Barbara De Angelis. We all encounter unforeseen obstacles in our lives, as a relationship or a job we were counting on vanishes. This book will teach you how to escape the past and navigate the unexpected to find a life of more purpose, contentment and joy. Even when a person's life seems perfect from the outside, they can often feel dissatisfied; that there is a gap between the life they mapped out and the life they ended up with. Bestselling author Barbara De Angelis teaches us how to combat this feeling. Discover how to deal with personal crisis, both dramatic and gradual, including divorce, unemployment, boredom and restlessness. If you have realised that the life you have doesn't fulfil you, this book gives you the practical tools, wisdom and inspiration to turn it around.

It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks, with developed mathematical and computational tools, facilitate the investigators to provide reliable results. Further study on the potential uses of these technologies is required to better understand their benefits. Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks provides an outline of deep learning and machine learning frameworks and methods for use in forensic science to produce accurate and reliable results to aid investigation processes. The book also considers the challenges, developments, advancements, and emerging approaches of deep learning and machine learning. Covering key topics such as biometrics, augmented reality, and fraud investigation, this reference work is crucial for forensic scientists, law enforcement, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.