Steven Rytina

Network Persistence and the Axis of Hierarchy (eBook, PDF)

How Orderly Stratification Is Implicit in Sticky Struggles

• Format: PDF

Produktbeschreibung

Network Persistence and the Axis of Hierarchy shows how networks, modestly redefined as a strong, yet imperfect tendency for pairings to recur day after day, that is, stickiness, imply a singular axis of stratification. This is contrary to the nearly universal insistence that stratification is multidimensional. Reanalysis of three central mobility data sets sustains the novel claim. Network concepts provide a supple base for analysis whereby order and regularity are strongly sustained in network neighborhoods but are not necessarily uniform or universal. This provides new takes, often quite radical, on accounts of structure and order by authors such as Pierre Bourdieu, Randall Collins and Talcott Parsons.

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Produktdetails

• Verlag: Anthem Press
• Seitenzahl: 372
• Erscheinungstermin: 30. April 2020
• Englisch
• ISBN-13: 9781785271977
• Artikelnr.: 63604353

Autorenporträt

Steven Rytina is retired from McGill University where he was associate professor of sociology. He has also taught at Harvard University and SUNY at Albany. Rytina's research interests include mathematical sociology, theories of social structure, social networks, and stratification and mobility.

Inhaltsangabe

List of Illustrations
Preface
Chapter One Sticky Struggles: The Unified Pattern of Social Ranks Inherent in Networks
Chapter Two Foundations of Cacophony
Chapter Three Knots of Regularity
Chapter Four Hierarchy: Inevitable but Inevitably Messy
Chapter Five The Inevitable Emergence of Stratification
Chapter Six Scaling Intergenerational Continuity: Is Occupational Inheritance Ascriptive After All?
Chapter Seven Taming the Mobility Table
Chapter Eight Is Occupational Mobility Declining in the United States?
Chapter Nine The Continuum of Class over Time: Deconstructing Imposed Class to Uncover Empirical Classes
Chapter Ten Concluding Reflections
Appendix: Why Robust Attraction Is (Effectively) Inevitable for Mobility Data
Index.