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For over thirty years Susan Wolf has been writing about moral and nonmoral values and the relation between them. This volume collects Wolf's most important essays on the topics of morality, love, and meaning, ranging from her classic essay "Moral Saints" to her most recent "The Importance of Love." Wolf's essays warn us against the common tendency to classify values in terms of a dichotomy that contrasts the personal, self-interested, or egoistic with the impersonal, altruistic or moral. On Wolf's view, this tendency ignores or distorts the significance of such values as love, beauty, and truth, and neglects the importance of meaningfulness as a dimension of the good life. These essays show us how a self-conscious recognition of the variety of values leads to new understandings of the point, the content, and the limits of morality and to new ways of thinking about happiness and well-being.
A fresh reflection on what makes life meaningful Most people, including philosophers, tend to classify human motives as falling into one of two categories: the egoistic or the altruistic, the self-interested or the moral. According to Susan Wolf, however, much of what motivates us does not comfortably fit into this scheme. Often we act neither for our own sake nor out of duty or an impersonal concern for the world. Rather, we act out of love for objects that we rightly perceive as worthy of love—and it is these actions that give meaning to our lives. Wolf makes a compelling case that, along with happiness and morality, this kind of meaningfulness constitutes a distinctive dimension of a good life. Written in a lively and engaging style, and full of provocative examples, Meaning in Life and Why It Matters is a profound and original reflection on a subject of permanent human concern.
“This magnificent book...opens up a novel, arresting position on matters that have been debated for thousands of years.” —Times Literary Supplement How do we judge whether an action is morally right or wrong? If an action is wrong, what reason does that give us not to do it? Why should we give such reasons priority over our other concerns and values? In this book, T. M. Scanlon offers new answers to these questions, as they apply to the central part of morality that concerns what we owe to each other. According to his contractualist view, thinking about right and wrong is thinking about what we do in terms that could be justified to others and that they could not reasonably reject. He shows how the special authority of conclusions about right and wrong arises from the value of being related to others in this way, and he shows how familiar moral ideas such as fairness and responsibility can be understood through their role in this process of mutual justification and criticism. Scanlon bases his contractualism on a broader account of reasons, value, and individual well-being that challenges standard views about these crucial notions. He argues that desires do not provide us with reasons, that states of affairs are not the primary bearers of value, and that well-being is not as important for rational decision-making as it is commonly held to be. Scanlon is a pluralist about both moral and non-moral values. He argues that, taking this plurality of values into account, contractualism allows for most of the variability in moral requirements that relativists have claimed, while still accounting for the full force of our judgments of right and wrong.
The idea that science is or should be value-free, and that values are or should be formed independently of science, has been under fire by philosophers of science for decades. Science and Moral Imagination directly challenges the idea that science and values cannot and should not influence each other. Matthew J. Brown argues that science and values mutually influence and implicate one another, that the influence of values on science is pervasive and must be responsibly managed, and that science can and should have an influence on our values. This interplay, he explains, must be guided by accounts of scientific inquiry and value judgment that are sensitive to the complexities of their interactions. Brown presents scientific inquiry and value judgment as types of problem-solving practices and provides a new framework for thinking about how we might ethically evaluate episodes and decisions in science, while offering guidance for scientific practitioners and institutions about how they can incorporate value judgments into their work. His framework, dubbed “the ideal of moral imagination,” emphasizes the role of imagination in value judgment and the positive role that value judgment plays in science.
The most likely reason for unsatisfactory clinical consultations is a failure of values-based practice - not ascertaining the relevant values perspectives and acting on them in an appropriate manner. This book will help clinicians acquire and develop the processes and skills of values-based practice, improving outcomes for patients, carers and clinicians.
Variations -- On being imprisoned by one's upbringing -- Moral psychologies and moral ecologies -- Bibliographical essay -- First nature -- Classical Chinese sprouts -- Modern moral psychology -- Beyond moral modularity -- Destructive emotions -- Bibliographic essay -- Collisions -- When values collide -- Moral geographies of anger -- Weird anger -- For love's and justice's sake -- Bibliographical essay -- Anthropologies -- Self-variations: philosophical archaeologies -- The content of character.
Modern political culture features a deep-seated faith in the power of numbers. But quantitative evidence has not always been revered, as William Deringer shows. After the 1688 Revolution, as Britons learned to fight by the numbers, their enthusiasm for figures arose not from efforts to find objective truths but from the turmoil of politics itself.
"Report of the Dominion fishery commission on the fisheries of the province of Ontario, 1893", issued as vol. 26, no. 7, supplement.
Features and capabilities of the REG, ANOVA, and GLM procedures are included in this introduction to analysing linear models with the SAS System. This guide shows how to apply the appropriate procedure to data analysis problems and understand PROC GLM output. Other helpful guidelines and discussions cover the following significant areas: Multivariate linear models; lack-of-fit analysis; covariance and heterogeneity of slopes; a classification with both crossed and nested effects; and analysis of variance for balanced data. This fourth edition includes updated examples, new software-related features, and new material, including a chapter on generalised linear models. Version 8 of the SAS System was used to run the SAS code examples in the book. * Provides clear explanations of how to use SAS to analyse linear models * Includes numerous SAS outputs * Includes new chapter on generalised linear models * Uses version 8 of the SAS system This book assists data analysts who use SAS/STAT software to analyse data using regression analysis and analysis of variance. It assumes familiarity with basic SAS concepts such as creating SAS data sets with the DATA step and manipulating SAS data sets with the procedures in base SAS software.