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Record Nr. |
UNINA9910792597003321 |
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Titolo |
Multiracial Americans and social class : the influence of social class on racial identity / / edited by Kathleen Korgen |
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Pubbl/distr/stampa |
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London ; ; New York : , : Routledge, , 2010 |
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ISBN |
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1-134-01431-7 |
1-134-01432-5 |
1-282-59569-5 |
9786612595691 |
0-203-88373-X |
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Descrizione fisica |
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1 online resource (249 p.) |
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Altri autori (Persone) |
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KorgenKathleen Odell <1967-> |
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Disciplina |
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Soggetti |
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Social classes - United States |
Racially mixed people - United States |
Identity politics - United States |
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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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pt. 1. Who are multiracial Americans? -- pt. 2. Culture, class, racial identity, and blame -- pt. 3. Social class, demographic, and cultural characteristics -- pt. 4. Social class, racial identities, and racial hierarchies. |
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Sommario/riassunto |
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As the racial hierarchy shifts and inequality between Americans widens, it is important to understand the impact of social class on the rapidly growing multiracial population. Multiracial Americans and Social Class is the first book on multiracial Americans to do so and fills a noticeable void in a growing market. In this book, noted scholars examine the impact of social class on the racial identity of multiracial Americans, in highly readable essays, from a range of sociological perspectives. In doing so, they answer the following questions: Who is multiracial? How does cla |
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2. |
Record Nr. |
UNINA9910557580503321 |
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Autore |
Saxen Henrik |
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Titolo |
Process Modeling in Pyrometallurgical Engineering |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
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Descrizione fisica |
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1 online resource (642 p.) |
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Soggetti |
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Technology: general issues |
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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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Sommario/riassunto |
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The Special Issue presents almost 40 papers on recent research in modeling of pyrometallurgical systems, including physical models, first-principles models, detailed CFD and DEM models as well as statistical models or models based on machine learning. The models cover the whole production chain from raw materials processing through the reduction and conversion unit processes to ladle treatment, casting, and rolling. The papers illustrate how models can be used for shedding light on complex and inaccessible processes characterized by high temperatures and hostile environment, in order to improve process performance, product quality, or yield and to reduce the requirements of virgin raw materials and to suppress harmful emissions. |
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