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Ethics of Institutional Beliefs : From Theoretical to Empirical.

Edward Elgar Law 2025 Available online

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Format:
Book
Author/Creator:
Dyrda, Adam.
Contributor:
Dyrda, Adam
Juzaszek, Maciej
Biskup, Bartosz
Wang, Cuizhu
Edward Elgar Publishing, publisher.
Series:
Elgar studies in legal theory.
Elgar Studies in Legal Theory
Language:
English
Subjects (All):
Ethics.
Belief and doubt.
Physical Description:
1 online resource (290 pages)
Edition:
1st ed.
Place of Publication:
Northampton : Edward Elgar Publishing, 2025.
Summary:
This incisive book reflects on the ethics of institutional belief, exploring the philosophy of social and legal institutions. Expert authors examine the deeds, beliefs, and collective attitudes of these institutions, in light of distinct ethical and epistemological approaches.
Contents:
Front Matter
Copyright
Contents
List of figures
List of tables
List of contributors
Introduction to Ethics of Institutional Beliefs
PART I: Concepts
Chapter 1: Ethics of institutional belief: Ethics of what?
Chapter 2: Ethics of institutional beliefs: What kind of ethics?
Chapter 3: An operational definition of institutional beliefs
PART II: Arguments
Chapter 4: Self and society: Institutional facts, institutional beliefs, and the construction of role identity
Chapter 5: Reasoning in group and institutional contexts: A taxonomy
Chapter 6: Transcendental arguments in social ontology
Chapter 7: Religious apologetics, (ir)responsibility, and the ethics of belief in the philosophical study of religion
Chapter 8: Group agents and their culpable ignorance
PART III: Experiments
Chapter 9: What grounds the rule of recognition? Postulates for experimental Hartian legal positivism
Chapter 10: Institutional beliefs about law and social norms: An experimental study
Chapter 11: A cross-cultural examination of fairness beliefs in human-AI interaction
Index.
Notes:
Includes bibliographical references and index.
Description based on publisher supplied metadata and other sources.
Part of the metadata in this record was created by AI, based on the text of the resource.
ISBN:
1-03-535385-7
1-03-538257-1
9781035353859
OCLC:
1569807731

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