JOURNAL ARTICLE

On the creation of a communist poetic tradition through the review Officina.

  • Published In: Twentieth Century Communism, 2024, n. 27. P. 61 1 of 3

  • Database: Historical Abstracts with Full Text 2 of 3

  • Authored By: Mozzachiodi, Luca 3 of 3

Abstract

This article examines the cultural and literary review Officina to show how, between 1955 and 1959, the editors (Roberto Roversi, Pier Paolo Pasolini, Francesco Leonetti, Gianni Scalia, Angelo Romanò and later Franco Fortini) worked to construct a non-party communist poetic tradition. These authors used Antonio Gramsci's recently published-Prison Notebooks in order to re-read the Italian literary tradition (from Giacomo Leopardi to Giuseppe Ungaretti), through re-considering the relationship between intellectuals and society and between poetry and politics. The article uses the activities of the Officina group to analyse the cultural dominance of the notionally apolitical models then in force: in particular, Crocean idealism, novecentismo and Hermetic poetry. Through a direct reading of the editors' articles and their correspondence, the fundamental traits of this new poetic tradition that Pasolini defines as 'Neo-experimentalism' are outlined. Analysis of the magazine's development is intertwined with discussion of the events of 1956 and the effects in Italy of the Twentieth Congress of the Communist Party of the Soviet Union. The article argues that the shift in the cultural-political debate in 1956 marked a turning point in Officina's work. From here on it became more involved in intellectual protests, but failed to reach a larger audience and to join forces with parties or with the masses. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Twentieth Century Communism. 2024/07, Issue 27, p61
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2024
  • ISSN:1758-6437
  • DOI:10.3898/175864324839498919
  • Accession Number:182489009
  • Copyright Statement:Copyright of Twentieth Century Communism is the property of Lawrence & Wishart Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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