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Women, Labor Segmentation and Regulation

Overview of attention for book
Cover of 'Women, Labor Segmentation and Regulation'

Table of Contents

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    Book Overview
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    Chapter 1 Regulation Distance, Labor Segmentation, and Gender Gaps
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    Chapter 2 Gender and Class Relations
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    Chapter 3 Regulating for Equality: Modalities of Regulation and Gender Gaps
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    Chapter 4 The Changing Sexual Politics of Gender Regulation by Unions
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    Chapter 5 Employment Regulation and Worker-Carers: Reproducing Gender Inequality in the Domestic and Market Spheres?
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    Chapter 6 A Cross-National Comparison of Gender Gaps
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    Chapter 7 Structuring Gender Relations Among Coal Mine Workers
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    Chapter 8 Female-Dominated Regulated Occupations: Librarians and Other Public-Sector Professionals
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    Chapter 9 Academics: How Career Structures and Segmentation Undermine Pay Regulation
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    Chapter 10 Why Do Women at the Top of Organizations Do Worse?
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    Chapter 11 A Comparison of Australian and Indian Women Garment and Footwear Homeworkers
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    Chapter 12 Policy Ecologies, Gender, Work, and Regulation Distance in Film and TV Production
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    Chapter 13 The Persistence of Gender Gaps
Attention for Chapter 6: A Cross-National Comparison of Gender Gaps
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Citations

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Chapter title
A Cross-National Comparison of Gender Gaps
Chapter number 6
Book title
Women, Labor Segmentation and Regulation
Published by
Palgrave Macmillan US, January 2017
DOI 10.1057/978-1-137-55495-6_6
Book ISBNs
978-1-137-56122-0, 978-1-137-55495-6
Authors

Gillian Whitehouse

Editors

David Peetz, Georgina Murray

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Professor > Associate Professor 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Social Sciences 1 33%
Unknown 1 33%

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