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1. |
Record Nr. |
UNINA9910791376603321 |
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Titolo |
Dividing the domestic [[electronic resource] ] : men, women, and household work in cross-national perspective / / edited by Judith Treas and Sonja Drobnič |
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Pubbl/distr/stampa |
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Stanford, Calif., : Stanford University Press, c2010 |
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ISBN |
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Descrizione fisica |
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1 online resource (281 p.) |
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Collana |
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Studies in social inequality |
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Altri autori (Persone) |
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TreasJudith |
DrobničSonja |
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Disciplina |
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Soggetti |
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Sex role |
Sexual division of labor |
Housekeeping - Social aspects |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Frontmatter -- Contents -- List of Figures and Tables -- Acknowledgments -- About the Authors -- Chapter One. Why Study Housework? -- Chapter Two. Trends in Housework -- Chapter Three. Women’s Employment and Housework -- Chapter Four. The Politics of Housework -- Chapter Five. Can State Policies Produce Equality in Housework? -- Chapter Six. Economic Inequality and Housework -- Chapter Seven. Cultural and Institutional Contexts -- Chapter Eight. Beliefs about Maternal Employment -- Chapter Nine. The Institution of Marriage -- Chapter Ten. Pair Relationships and Housework -- Chapter Eleven. Men’s and Women’s Reports about Housework -- Chapter Twelve. Concluding Thoughts on the Societal Context of Housework -- Index |
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Sommario/riassunto |
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In Dividing the Domestic, leading international scholars roll up their sleeves to investigate how culture and country characteristics permeate our households and our private lives. The book introduces novel frameworks for understanding why the household remains a bastion of traditional gender relations—even when employed full-time, women everywhere still do most of the work around the house, and poor women spend more time on housework than affluent women. Education |
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systems, tax codes, labor laws, public polices, and cultural beliefs about motherhood and marriage all make a difference. Any accounting of "who does what" needs to consider the complicity of trade unions, state arrangements for children's schooling, and new cultural prescriptions for a happy marriage. With its cross-national perspective, this pioneering volume speaks not only to sociologists concerned with gender and family, but also to those interested in scholarship on states, public policy, culture, and social inequality. |
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2. |
Record Nr. |
UNINA9910139876303321 |
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Autore |
Gordon Keith |
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Titolo |
Principles of data management : facilitating information sharing / / Keith Gordon |
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Pubbl/distr/stampa |
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Swindon, : British Computer Society, c2007 |
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ISBN |
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1-78017-060-2 |
1-78017-024-6 |
1-906124-47-7 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (262 p.) |
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Disciplina |
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Soggetti |
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Database management |
Business - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 219-222) and index. |
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Nota di contenuto |
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Copyright; Contents; Figures and tables; About the author; Foreword; Glossary; Preface; Introduction; 1 Data and the Enterprise; 2 Database Development; 3 What is Data Management?; 4 Corporate Data Modelling; 5 Data Definition and Naming Conventions; 6 Metadata; 7 Data Quality; 8 Data Accessibility; 9 Database Administration; 10 Repository Administration; 11 The Management of Data Management; 12 Industry Trends and their Effects on Data Management; Appendix A Comparison of Data Modelling Notations; Appendix B Hierarchical and Network Databases; Appendix C Generic Data Models |
Appendix D An Example of a Data Naming ConventionAppendix E Metadata Models; Appendix F A Data Mining Example; Appendix G |
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HTML and XML; Appendix H XML and Relational Databases; References; Further reading; Index; Back Cover |
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Sommario/riassunto |
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Organisations increasingly view data as a valuable corporate asset and its effective management can be vital to success. This professional guide covers all the key areas including database development, data quality and corporate data modelling. It provides the knowledge and techniques required to successfully implement the data management function. |
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