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Record Nr. |
UNINA9910996490803321 |
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Autore |
Barnes Charlotte |
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Titolo |
Reading Ann Rule : Landmarks in True Crime / / by Charlotte Barnes |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Palgrave Macmillan, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XV, 224 p.) |
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Disciplina |
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Soggetti |
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America - Literatures |
Literature, Modern - 20th century |
Literature, Modern - 21st century |
Fiction |
North American Literature |
Contemporary Literature |
Fiction Literature |
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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 contenuto |
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Chapter 01: Introduction -- Chapter 02: A Life Stranger Than Fiction -- Chapter 03: A critical interrogation of Ann Rule -- Chapter 04: Ann Rule’s writing as a True Crime landmark for genre conventions -- Chapter 05: Conclusion. |
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Sommario/riassunto |
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This book studies the works of Ann Rule, aiming to shed light on her literary career as a largely uncelebrated True Crime writer, in addition to works by other lesser-known female True Crime writers including Alia Trabucco Zerán, Katherine Ellison and Caitlin Rother. Barnes argues that Rule’s works should be regarded as landmarks in True Crime fiction. In so doing, she critically considers how Rules blended non-fiction and fiction to produce character- and plot-driven works through reliance on figurative language and varied but impactful narrative methodologies. Barnes also draws parallels between the success of iconic female writers, such as Agatha Christie and Dorothy L. Sayers, in the Golden Age of detective and crime fiction and considers the similarities, differences and connections between these genres. |
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Charlotte Barnes is Lecturer in Cultural Studies at the University of Worcester, UK. She predominantly researches crime fiction through practice-based means, focusing on representations of female violence and psychopathy as well as True Crime literature. Her previous publications include Deconstructing True Crime Literature (2023). She is also a poet, essayist, and editor. She is currently working on a new novel and planning for her third academic monograph. |
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2. |
Record Nr. |
UNINA9910483575803321 |
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Titolo |
Rough Sets : International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017, Proceedings, Part I / / edited by Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Ślęzak, Beata Zielosko |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (L, 693 p. 147 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 10313 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Database management |
Application software |
Information storage and retrieval systems |
Artificial Intelligence |
Database Management |
Computer and Information Systems Applications |
Information Storage and Retrieval |
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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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This two-volume set LNAI 10313 and LNAI 10314 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2017, held in Olsztyn, Poland, in July 2017. The 74 revised full papers |
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presented together with 16 short papers and 16 invited talks, were carefully reviewed and selected from 130 submissions. The papers in this two set-volume of IJCRS 2017 follow the track already rutted by RSCTC and JRS conferences which aimed at unification of many facets of rough set theory from theoretical aspects of the rough set idea bordering on theory of concepts and going through algebraic structures, topological structures, logics for uncertain reasoning, decision algorithms, relations to other theories of vagueness and ambiguity, then to extensions of the rough set idea like granular structures, rough mereology, and to applications of the idea in diverse fields of applied science including hybrid methods like rough-fuzzy, neuro-rough, neuro-rough-fuzzy computing. IJCRS 2017 encompasses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organized since 1999); Rough Sets and Knowledge Technology (in relation to RSKT series organized since 2006); and Rough Sets and Intelligent Systems (in relation to RSEISP series organized since 2007). |
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