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Record Nr. |
UNINA9910476773603321 |
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Titolo |
Muslim women's pilgrimage to Mecca and beyond : reconfiguring gender, religion, and mobility / / edited by Marjo Buitelaar, Manja Stephan-Emmrich, Viola Thimm |
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Pubbl/distr/stampa |
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London : , : Routledge, , 2020 |
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©2021 |
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ISBN |
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1-00-311090-8 |
1-003-11090-8 |
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Descrizione fisica |
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1 online resource (222 pages) |
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Disciplina |
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Soggetti |
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Muslim pilgrims and pilgrimages - Saudi Arabia - Mecca |
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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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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction: Muslim pilgrimage through the lens of women's new mobilities / Marjo Buitelaar, Manja Stephan-Emmrich, and Viola Thimm -- 1. Under male supervision? Nationality, age and Islamic belief as basis for Muslim women's pilgrimage / Viola Thimm -- 2. Young Moroccan-Dutch women on hajj: Claiming female space / Khadija Kadrouch-Outmany & Marjo Buitelaar -- 3. Power in Moroccan women's narratives of the hajj / Kholoud Al-Ajarma -- 4. Shiʻi Muslim women's pilgrimage rituals to Lady Fatemeh-Masoumeh's shrine in Qom / Ladan Rahbari -- 5. Israeli Dead Sea cosmetics and charity for Palestinian children: Indonesian women's shopping activities while on pilgrimage to Jerusalem / Mirjam Lücking -- 6. 'Clothing cannot improve moral behaviour': Pilgrimage, fashion, and entrepreneurship in a West African market / Erin Kenny -- 7. Considering the silences: Understanding historical narratives of women's Indian Ocean hajj mobility / Jacqueline H. Fewkes -- 8. Bosnian women on hajj / Dženita Karić -- 9. In the 'Land of Wonders': Bint Al-Shāṭiʼ's pilgrimage: The hajj and the construction of reformist religiosity / Richard van Leeuwen -- 10. Stepping in the footsteps of Hajar to bring home the hajj: Dialogical positioning in Asra Nomani's memoir Standing Alone / Marjo Buitelaar -- Glossary. |
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Sommario/riassunto |
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"This book investigates female Muslims pilgrimage practices and how these relate to women's mobility, social relations, identities, and the power structures that shape women's lives. Bringing together scholars from different disciplines and regional expertise, it offers in-depth investigation of the gendered dimensions of Muslim pilgrimage and the life-worlds of female pilgrims. With a variety of case studies, the contributors explore the experiences of female pilgrims to Mecca and other pilgrimage sites, and how these are embedded in historical and current contexts of globalisation and transnational mobility. This volume will be relevant to a broad audience of researchers across pilgrimage, gender, religious, and Islamic studies"-- |
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2. |
Record Nr. |
UNINA9910483879403321 |
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Titolo |
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III / / edited by Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, Myra Spiliopoulou |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (XXX, 345 p. 122 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 9286 |
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Disciplina |
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Soggetti |
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Data mining |
Artificial intelligence |
Pattern recognition systems |
Information storage and retrieval systems |
Database management |
Application software |
Data Mining and Knowledge Discovery |
Artificial Intelligence |
Automated Pattern Recognition |
Information Storage and Retrieval |
Database Management |
Computer and Information Systems Applications |
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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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Sommario/riassunto |
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The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track. |
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