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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=48276"><dc:title>GOOD AND EVIL: PSYCHOANALYTICAL ANALYSIS OF CHARACTERS FROM THE NOVEL RED DRAGON</dc:title><dc:creator>Žgajner,	Nataša	(Avtor)
	</dc:creator><dc:creator>Kennedy,	Victor	(Mentor)
	</dc:creator><dc:subject>psychoanalysis</dc:subject><dc:subject>psychopath</dc:subject><dc:subject>sociopath</dc:subject><dc:subject>Hannibal Lecter</dc:subject><dc:subject>The Great Red Dragon</dc:subject><dc:description>The Master's thesis, titled Good and Evil: Psychoanalytical Analysis of Characters from the Novel Red Dragon, deals with a detailed analysis of the four main characters from the mentioned novel, written by Thomas Harris.
At the beginning of the dissertation, I present several definitions of good and evil, based on which I place our four characters into these two categories. I focus on the psychoanalytical analysis of the mind, which shows best when analysing evil characters.  To properly diagnose them, I resort to several researches and acclaimed authors from the fields of psychology and psychoanalysis, based on which I present the main concepts that are important for this dissertation: psychopathology, sociopathology and psychosis. Towards the end, I also present William Blake’s series of paintings, called: The Red Dragon Paintings. Then, I address the question of why today’s society shows so much interest in the lives and crimes of serial killers.
The conclusion reveals my diagnosis of Hannibal Lecter and Francis Dolarhyde. It also shows the answer to previously mentioned question, which in short is that what attracts us most with serial killers is the inability to understand their murderous instincts.</dc:description><dc:publisher>[N. Žgajner]</dc:publisher><dc:date>2015</dc:date><dc:date>2015-06-05 11:04:41</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>48276</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
