JOURNAL ARTICLE
THE ANCIENT BOOK AS A "BANDWIDTH" OF RESONANCE IN OVID'S TRISTIA.
Published In: Annals of the University of Oradea, Romanian Language & Literature Fascicule / Analele Universităţii din Oradea. Seria Filologie, Fascicula Limba şi Literatura Română, 2023, v. 30. P. 109 1 of 3
Database: The Belt and Road Initiative Reference Source 2 of 3
Authored By: SALA, DANA 3 of 3
Abstract
Relegated from Rome to Tomis around 8 A.D., after a sea-voyage which lasted months, forced to give up the circle of high life where he used to be so admired and cherished, Ovid found himself in the land of dissonance. The sources of his dissonance were: the perceived reception of his own poetry, the nature of harsher climate, the life-threatening attacks of the Barbarians and his own fears of illness. Ovid needed a "bandwidth" of communication and resonance and he found it in books, both as objects and as a legacy. The book (liber/libri) was free (liber') to travel to Rome in his place and to receive all the valences of a compensatory myth. Moreover, book (in its ancient form of "volumen") retrieves in "Tristia" the vocabulary of resonating with other people. Books, his own and of other writers, are the mysterious path to a much needed reconciliation with Tomitan people. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Annals of the University of Oradea, Romanian Language & Literature Fascicule / Analele Universităţii din Oradea. Seria Filologie, Fascicula Limba şi Literatura Română. 2023/01, Vol. 30, p109
- Document Type:Article
- Subject Area:Anthropology
- Publication Date:2023
- ISSN:1224-7588
- Accession Number:177367487
- Copyright Statement:Copyright of Annals of the University of Oradea, Romanian Language & Literature Fascicule / Analele Universităţii din Oradea. Seria Filologie, Fascicula Limba şi Literatura Română is the property of University of Oradea, Faculty of Letters 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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