Gli elzeviri di Grazia Deledda sul "Corriere della Sera"

This project aims to be a first step towards redefining the concept of "realism" in the panorama of Italian literature of the first half of the Twentieth Century (1900-1950) based on the study of a very peculiar genre, the "Elzeviro". This is a hybrid literary segment that can be compared with journalistic essays on the one hand, and with literary short stories on the other. These segments were mainly published in newspapers as editorials of the cultural page and have, therefore, have been under-studied by literary scholars. For these reasons one can speak of a neglected genre, or also “cinderella-genre”. (Ansary & Esmat Babaii 2005).

More specifically, this dataset revoles around one particular case study : a corpus of more than 100 elzeviri by Italian writer Grazia Deledda (first female Nobel Prize winner for Literature in Italy) published between 1909 and 1936. The aim was to map the number of literary segments that Deledda wrote for the Corriere della Sera and to analyze them for a number of prototypical features of both verismo and modernismo, starting from the use of time and space: from a naturalistic setting that underlines the couleur locale in a "positivistic" way, to a more modern interpretation of the city where the protagonist finds impulses for introspection.

Identifier
DOI https://doi.org/10.17026/dans-x7r-9srf
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-tz-32zb
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:203810
Provenance
Creator van den Bergh, CARMEN ORCID logo
Publisher DANS archive
Contributor Franke, ANNELOTTE; van den Bergh, CARMEN; dr. Carmen van den Bergh (Leiden University)
Publication Year 2023
Rights info:eu-repo/semantics/restrictedAccess; License: http://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf; http://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess false
Representation
Language English
Resource Type Dataset
Format application/pdf; .csv; application/x-cmdi+xml
Discipline Other
Spatial Coverage Italy