This Handbook is a major, comprehensive look at the key ideas in the field, is guided by several principles. The first is that the philosophy of social science should be closely connected to, and informed by, developments in the sciences themselves. The second is that the volume should appeal to practicing social scientists as well as philosophers, with the contributors being both drawn from both ranks, and speaking to ongoing controversial issues in the field. Finally, the volume promotes connections across the social sciences, with greater internal discussion and interaction across disciplinary boundaries.…mehr
This Handbook is a major, comprehensive look at the key ideas in the field, is guided by several principles. The first is that the philosophy of social science should be closely connected to, and informed by, developments in the sciences themselves. The second is that the volume should appeal to practicing social scientists as well as philosophers, with the contributors being both drawn from both ranks, and speaking to ongoing controversial issues in the field. Finally, the volume promotes connections across the social sciences, with greater internal discussion and interaction across disciplinary boundaries.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Harold Kincaid is Professor in the School of Economics at the University of Cape Town and Visiting Professor at the Academy of Finland Centre of Excellence in the Philosophy of the Social Sciences at the University of Helsinki.
Inhaltsangabe
* Preface * 1. Introduction: Doing Philosophy of Social Science, Harold Kincaid * Part 1. Mechanisms, Explanation and Causation * 2. Micro, Macro, and Mechanisms, Petri Ylikoski * 3. Mechanisms, Causal Modeling, and the Limitations of Traditional Multiple Regression, Harold Kincaid * 4. Process Tracing and Causal Mechanisms, David Waldner * 5. Descriptive-causal Generalizations:"Empirical Laws" in the Social Sciences?, Gary Goertz * 6. Useful Causal Complexity, David Byrne and Emma Uprichard * 7. Partial Explanations in Social Science, Robert Northcott * 8. Counterfactuals, Julian Reiss * 9. Mechanistic Social Probability: How Individual Choices and Varying Circumstances Produce Stable Social Patterns, Marshall Abrams * Part II. Evidence * 10. The Impact of Duhemian Principles on Social Science Testing and Progress, Fred Chernoff * 11. Philosophy and the Practice of Bayesian Statistics in the Social Sciences, Andrew Gelman and Cosma Rohilla Shalizi * 12. Sciences of Historical Tokens and Theoretical Types: History and the Social Sciences, Aviezer Tucker * 13. RCTs, Evidence and Predicting Policy Effectiveness, Nancy Cartwright * 14. Bringing Context and Variability Back in to Causal Analysis, Stephen Morgan and Christopher Winship * 15. The Potential Value of Computational Models in Social Science Research, Ken Kollman * Part III. Norms, Culture and the Social-Psychological * 16. Models of Culture, Mark Risjord * 17. Norms, David Henderson * 18. The Evolutionary Programme in Social Philosophy, Francesco Guala * 19. Cultural Evolution: Integration and Scepticism, Tim Lewens * 20. Coordination and the Foundations of Social Intelligence, Don Ross * 21. Making Race Out of Nothing: Psychologically Constrained Social Roles, Ron Mallon and Daniel Kelly * Part IV. Sociology of Knowledge * 22. A Feminist Empirical and Integrative Approach in Political Science: Breaking-Down the Glass Wall?, Amy G. Mazur * 23. Social Constructions of Mental Illness, Allan Horwitz * Part V. Normative Connections * 24. Cooperation and Reciprocity: Empirical Evidence and Normative Implications, James Woodward * 25. Evaluating Social Policy, Daniel M. Hausman * 26. Values and the Science of Well-being: A Recipe for Mixing, Anna Alexandrova
* Preface * 1. Introduction: Doing Philosophy of Social Science, Harold Kincaid * Part 1. Mechanisms, Explanation and Causation * 2. Micro, Macro, and Mechanisms, Petri Ylikoski * 3. Mechanisms, Causal Modeling, and the Limitations of Traditional Multiple Regression, Harold Kincaid * 4. Process Tracing and Causal Mechanisms, David Waldner * 5. Descriptive-causal Generalizations:"Empirical Laws" in the Social Sciences?, Gary Goertz * 6. Useful Causal Complexity, David Byrne and Emma Uprichard * 7. Partial Explanations in Social Science, Robert Northcott * 8. Counterfactuals, Julian Reiss * 9. Mechanistic Social Probability: How Individual Choices and Varying Circumstances Produce Stable Social Patterns, Marshall Abrams * Part II. Evidence * 10. The Impact of Duhemian Principles on Social Science Testing and Progress, Fred Chernoff * 11. Philosophy and the Practice of Bayesian Statistics in the Social Sciences, Andrew Gelman and Cosma Rohilla Shalizi * 12. Sciences of Historical Tokens and Theoretical Types: History and the Social Sciences, Aviezer Tucker * 13. RCTs, Evidence and Predicting Policy Effectiveness, Nancy Cartwright * 14. Bringing Context and Variability Back in to Causal Analysis, Stephen Morgan and Christopher Winship * 15. The Potential Value of Computational Models in Social Science Research, Ken Kollman * Part III. Norms, Culture and the Social-Psychological * 16. Models of Culture, Mark Risjord * 17. Norms, David Henderson * 18. The Evolutionary Programme in Social Philosophy, Francesco Guala * 19. Cultural Evolution: Integration and Scepticism, Tim Lewens * 20. Coordination and the Foundations of Social Intelligence, Don Ross * 21. Making Race Out of Nothing: Psychologically Constrained Social Roles, Ron Mallon and Daniel Kelly * Part IV. Sociology of Knowledge * 22. A Feminist Empirical and Integrative Approach in Political Science: Breaking-Down the Glass Wall?, Amy G. Mazur * 23. Social Constructions of Mental Illness, Allan Horwitz * Part V. Normative Connections * 24. Cooperation and Reciprocity: Empirical Evidence and Normative Implications, James Woodward * 25. Evaluating Social Policy, Daniel M. Hausman * 26. Values and the Science of Well-being: A Recipe for Mixing, Anna Alexandrova
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