For over half a century, Stanley Milgram's classic and controversial obedience experiments have been a touchstone in the social and behavioral sciences, introducing generations of students to the concept of destructive obedience to authority and the Holocaust. In the last decade, the interdisciplinary Milgram renaissance has led to widespread interest in rethinking and challenging the context and nature of his Obedience Experiment. In Morality in the Making of Sense and Self, Matthew M. Hollander and Jason Turowetz offer a new explanation of obedience and defiance in Milgram's lab. Examining one of the largest collections of Milgram's original audiotapes, they scrutinize participant behavior in not only the experiments themselves, but also recordings of the subsequent debriefing interviews in which participants were asked to reflect on their actions. Introducing an original theoretical framework in the sociology of morality, they show that, contrary to traditional understandings of Milgram's experiments that highlight obedience, virtually all subjects, both compliant and defiant, mobilized practices to resist the authority's commands, such that all were obedient and disobedient to varying degrees. As Hollander and Turowetz show, the precise ways subjects worked out a definition of the situation shaped the choices open to them, how they responded to the authority's demands, and ultimately whether they would be classified as "obedient" or "defiant." By illuminating the relationship between concrete moral dilemmas and social interaction, Hollander and Turowetz tell a new, empirically-grounded story about Milgram: one about morality--and immorality--in the making of sense and self.
For over half a century, Stanley Milgram's classic and controversial obedience experiments have been a touchstone in the social and behavioral sciences, introducing generations of students to the concept of destructive obedience to authority and the Holocaust. In the last decade, the interdisciplinary Milgram renaissance has led to widespread interest in rethinking and challenging the context and nature of his Obedience Experiment. In Morality in the Making of Sense and Self, Matthew M. Hollander and Jason Turowetz offer a new explanation of obedience and defiance in Milgram's lab. Examining one of the largest collections of Milgram's original audiotapes, they scrutinize participant behavior in not only the experiments themselves, but also recordings of the subsequent debriefing interviews in which participants were asked to reflect on their actions. Introducing an original theoretical framework in the sociology of morality, they show that, contrary to traditional understandings of Milgram's experiments that highlight obedience, virtually all subjects, both compliant and defiant, mobilized practices to resist the authority's commands, such that all were obedient and disobedient to varying degrees. As Hollander and Turowetz show, the precise ways subjects worked out a definition of the situation shaped the choices open to them, how they responded to the authority's demands, and ultimately whether they would be classified as "obedient" or "defiant." By illuminating the relationship between concrete moral dilemmas and social interaction, Hollander and Turowetz tell a new, empirically-grounded story about Milgram: one about morality--and immorality--in the making of sense and self.
Electronic Inspection Copy available for instructors here Presented with the latest thinking and research on how children acquire their first language, the reader is taken from a standing start to the point where they can engage with key debates and current research in the field of child language. No background knowledge of linguistic theory is assumed and all specialist terms are introduced in clear, non-technical language. A theme running through the book is the nature-nurture debate, rekindled in the modern era by Noam Chomsky, with his belief that the child is born with a rich knowledge of language. This book is rare in its balanced presentation of evidence from both sides of the nature-nurture divide. The reader is encouraged to adopt a critical stance throughout and weigh up the evidence for themselves. Key features for the student include: boxes and exercises to foster an understanding of key concepts in language and linguistics; a glossary of key terms; suggestions for further reading; a list of useful websites at the end of each chapter; discussion points for use in class; and separate author and subject indexes.
The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed. The book is the first of its kind, representing research efforts in the diversity of personalization and recommendation techniques. These include user modeling, content, collaborative, hybrid and knowledge-based recommender systems. It presents theoretic research in the context of various applications from mobile information access, marketing and sales and web services, to library and personalized TV recommendation systems. This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems. Sample Chapter(s). Personalization-Privacy Tradeoffs in Adaptive Information Access (865 KB). Contents: User Modeling and Profiling: Personalization-Privacy Tradeoffs in Adaptive Information Access (B Smyth); A Deep Evaluation of Two Cognitive User Models for Personalized Search (F Gasparetti & A Micarelli); Unobtrusive User Modeling for Adaptive Hypermedia (H J Holz et al.); User Modelling Sharing for Adaptive e-Learning and Intelligent Help (K Kabassi et al.); Collaborative Filtering: Experimental Analysis of Multiattribute Utility Collaborative Filtering on a Synthetic Data Set (N Manouselis & C Costopoulou); Efficient Collaborative Filtering in Content-Addressable Spaces (S Berkovsky et al.); Identifying and Analyzing User Model Information from Collaborative Filtering Datasets (J Griffith et al.); Content-Based Systems, Hybrid Systems and Machine Learning Methods: Personalization Strategies and Semantic Reasoning: Working in Tandem in Advanced Recommender Systems (Y Blanco-Fernindez et al.); Content Classification and Recommendation Techniques for Viewing Electronic Programming Guide on a Portable Device (J Zhu et al.); User Acceptance of Knowledge-Based Recommenders (A Felfernig et al.); Using Restricted Random Walks for Library Recommendations and Knowledge Space Exploration (M Franke & A Geyer-Schulz); An Experimental Study of Feature Selection Methods for Text Classification (G Uchyigit & K Clark). Readership: Researchers and graduate students in machine learning and databases/information science.
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