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02499nmm a2200313 u 4500 |
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210506 ||| eng |
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|a 978-0-691-21494-8
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|a N8600
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|a Greenwald, Diana Seave
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245 |
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|a Painting by numbers
|h Elektronische Ressource
|b data-driven histories of nineteenth-century art
|c Diana Seave Greenwald
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260 |
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|a Princeton, New Jersey ; Oxford
|b Princeton University Press
|c 2021 ©2021
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|a 245 pages
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|a 1 What Is a Data-DrivenHistory of Art? -- 2 The Historical Data of the Art World -- 3 Between City and Country: Industrialization and Images of Nature at the Paris Salon -- 4 Why Have There Been No Great Women Artists? Artistic Labor and Time-Constraint in Nineteenth-CenturyAmerica -- 5 Implied But Not Shown: Empire at the Royal Academy -- 6 Conclusion -- Appendices -- A Further Information about Compilation of and Access to Data Sources -- B A Brief Historiography of the Study of Jean-François Millet and the Relationship between City and Country in Nineteenth-Century French Rural Genre Painting -- C Subject Headings in the Whiteley Index Identified as Rural, Industrial, Religious, and Family Tags -- D Full Regression Tables, How to Read Regression Tables, and Further Discussion of Results -- E French Transcription of Letters Written by Jean-FrançoisMillet -- F Still Life Keywords Identified in Titles of Works Exhibited at the National Academy of Design, 1826-1900 -- G Further Information about Geographic Classifications of Royal Academy Data and Imperial Keywords -- Acknowledgments -- Notes -- Bibliography -- Index.
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653 |
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|a Art -- Economic aspects -- History -- 19th century
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653 |
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|a Art, Modern -- 19th century
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653 |
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|a Art and society -- History -- 19th century
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653 |
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|a Art -- Historiography -- Methodology
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653 |
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|a Economic history -- Methodology
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|a eng
|2 ISO 639-2
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|b GRUYMPG
|a DeGruyter MPG Collection
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|a 10.1515/9780691214948
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776 |
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|z 978-0-691-19245-1
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856 |
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|u https://www.degruyter.com/document/doi/10.1515/9780691214948
|x Verlag
|3 Volltext
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|a 709
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|a "An innovative application of economic methods to the study of art history, demonstrating that new insights can be uncovered by using quantitative and qualitative methods together, which sheds light on longstanding disciplinary inequities"--
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