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1. |
Record Nr. |
UNISA996308783303316 |
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Autore |
Mehler Daniela |
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Titolo |
Serbische Vergangenheitsaufarbeitung : Normwandel und Deutungskämpfe im Umgang mit Kriegsverbrechen, 1991-2012 / Daniela Mehler |
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Pubbl/distr/stampa |
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Bielefeld, : transcript Verlag, 2015 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (371 p.) |
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Collana |
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Classificazione |
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Disciplina |
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Soggetti |
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Serbien; Aufarbeitung; Kriegsverbrechen; Jugoslawien; Transitional Justice; Balkan; Krieg; Milosevic; Mladic; Srebrenica; Normen; Gewalt; Politik; Erinnerungskultur; Konfliktforschung; Internationale Politik; Europäische Politik; Politikwissenschaft; Serbia; War Crimes; Yugoslavia; War; Norms; Violence; Politics; Memory Culture; Conflict Studies; International Relations; European Politics; Political Science |
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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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Incloudes bibliographical references. |
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Nota di contenuto |
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Frontmatter 1 Inhalt 5 Abkürzungsverzeichnis 7 Danksagung 9 1. Einleitung 11 2. Erfahrungsbasierte Vorstellungen des Umgangs mit Kriegsverbrechen 49 3. Vergangenheitsaufarbeitung in Jugoslawien und Serbien 1991-2012 83 4. Srebrenica erinnern: Narrative und Normen 251 5. Fazit 303 Literatur / Quellen 313 Verwendetes Diktionär 357 Serbische Auslieferungen an das ICTY 359 Backmatter 369 |
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Sommario/riassunto |
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Muss ein Staat seine Untaten bereuen, um außenpolitische Legitimität zu erhalten? Was bedeutet es, Kriegsverbrechen aufzuarbeiten? Und wie agieren und kommunizieren Politiker, die unter internationalem Druck aufarbeiten müssen? Am Beispiel des serbischen Umgangs mit während der Jugoslawienkriege begangener Kriegsverbrechen sucht Daniela Mehler Erklärungen für Politikwandel und Ambivalenzen. Sie rekonstruiert die serbischen Aufarbeitungsdebatten vom Beginn der Jugoslawienkriege bis zur Verhaftung von Ratko Mladic und stellt die Positionen und Norminterpretationen der serbischen Akteure vor. |
Besprochen in: Wissenschaft & Frieden, 4 (2015) Portal für Politikwissenschaft, 18.02.2016, Holger Niemann |
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2. |
Record Nr. |
UNICAMPANIAVAN00268531 |
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Autore |
Rozanov, Yurii A. |
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Titolo |
Markov Random Fields / Yu. A. Rozanov ; Transl. from the Russian by Constance M. Elson |
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Pubbl/distr/stampa |
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New York, : Springer-Verlag, 1982 |
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Titolo uniforme |
Markovskiye sluchaynyye polya |
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Descrizione fisica |
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ix, 201 p. : ill. ; 24 cm |
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Soggetti |
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60G60 - Random fields [MSC 2020] |
60H10 - Stochastic ordinary differential equations [MSC 2020] |
60Jxx - Markov processes [MSC 2020] |
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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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In this book we study Markov random functions of several variables. What is traditionally meant by the Markov property for a random process (a random function of one time variable) is connected to the concept of the phase state of the process and refers to the independence of the behavior of the process in the future from its behavior in the past, given knowledge of its state at the present moment. Extension to a generalized random process immediately raises nontrivial questions about the definition of a suitable" phase state," so that given the state, future behavior does not depend on past behavior. Attempts to translate the Markov property to random functions of multi-dimensional "time," where the role of "past" and "future" are taken by arbitrary complementary regions in an appro priate multi-dimensional time domain have, until comparatively recently, been carried out only in the framework of isolated examples. How the Markov property should be formulated for generalized random functions of several variables is the principal question in this book. We think that it has been substantially answered by recent results establishing the Markov property for a whole collection of different classes of random functions. These results are interesting for their applications as well as for the theory. In establishing them, we found it useful to introduce a general probability model which we have called a random field. In this book we investigate random fields on continuous |
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time domains. Contents CHAPTER 1 General Facts About Probability Distributions §1. |
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