Title: “Francesca da Rimini” by Sergei Rachmaninoff in its Connections with the Pyotr Tchaikovsky’s Opera Works
Abstract:“Francesca da Rimini” by Rachmaninoff is an opera which still undeservedly remains at the periphery of scholarly attention and producers’ interest, not least due to its existing reputation as an unsuc...“Francesca da Rimini” by Rachmaninoff is an opera which still undeservedly remains at the periphery of scholarly attention and producers’ interest, not least due to its existing reputation as an unsuccessful musical composition. The article poses the question of the role of intertextuality in the dramaturgy and conception of “Francesca” through the demonstration of the literary and musical parallels with Tchaikovsky’s operas, which creates a new context for the comprehension and interpretation of Rachmaninoff’s opera. Its genre-related and compositional resemblance to “Iolanta,” the plotline and literary interconnections with “The Queen of Spades,” the musical references to “Mazepa,” “The Maid of Orleans” and “Iolanta” make it possible to perceive “Francesca” as a new stage in the comprehension of the theme of the human being and fate, the issues of making decisions and their tragic consequences, the correlation of human actions with the value system of the religious worldview. The allusions placed into the context of the musical language of the 20th century (the chromatic pitch system, expanded tonality, microthematicism) function in the opera’s intonational dramaturgy as symbols which define its semantic density and make it possible to concretize its conception. They create a semantical implication, impressing not as much the storyline, as much the profound philosophical connection between the artistic world of “Francesca” with the conceptual constants of Tchaikovsky’s operas, which in themselves are close to Rachmaninoff’s world perception. Keywords: Sergei Rachmaninoff, “Francesca da Rimini,” Pyotr Tchaikovsky, “Iolanta,” “Mazepa,” “The Maid of Orleans,” intertextuality.Read More
Publication Year: 2019
Publication Date: 2019-12-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot