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Experts and Consensus in Social Science

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Cover of 'Experts and Consensus in Social Science'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Experts and Consensus in Social Science
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    Chapter 2 The Institutional Economics of Stakeholder Consultation; How Experts Can Contribute to Reduce the Costs of Reaching Compromise Agreements
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    Chapter 3 Model-Based Consensus
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    Chapter 4 Explicating Ways of Consensus-Making in Science and Society: Distinguishing the Academic, the Interface and the Meta-Consensus
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    Chapter 5 Judgments About the Relevance of Evidence in the Context of Peer Disagreements and Practical Rationality
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    Chapter 6 Seeking Consensus in the Social Sciences
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    Chapter 7 Struggling Over the Soul of Economics: Objectivity Versus Expertise
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    Chapter 8 Epistemology as a Social Science: Applying the Neyman-Rubin Model to Explain Expert Beliefs
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    Chapter 9 The Expert Economist in Times of Uncertainty
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    Chapter 10 Validating Expert Judgment with the Classical Model
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    Chapter 11 The Truth About Accuracy
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    Chapter 12 Expert Advisers: Why Economic Forecasters Can Be Useful Even When They Are Wrong
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    Chapter 13 The Role of Experts in the Condominium Model as Republican (Re-) Solution of Social, Economic, and Political Problems
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    Chapter 14 Private Epistemic Virtue, Public Vices: Moral Responsibility in the Policy Sciences
Attention for Chapter 6: Seeking Consensus in the Social Sciences
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Citations

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Chapter title
Seeking Consensus in the Social Sciences
Chapter number 6
Book title
Experts and Consensus in Social Science
Published by
Springer International Publishing, June 2014
DOI 10.1007/978-3-319-08551-7_6
Book ISBNs
978-3-31-908550-0, 978-3-31-908551-7
Authors

Carlo Martini

Editors

Carlo Martini, Marcel Boumans

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Business, Management and Accounting 1 100%

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