UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

In poetry, if meter has to help memory, it takes its time [version 2; peer review: 2 approved, 2 not approved]

Andreetta, Sara; Soldatkina, Oleksandra; Boboeva, Vezha; Treves, Alessandro; (2023) In poetry, if meter has to help memory, it takes its time [version 2; peer review: 2 approved, 2 not approved]. Open Research Europe , 1 (59) pp. 1-45. 10.12688/openreseurope.13663.2. Green open access

[thumbnail of AndreettaEtAl2021.pdf]
Preview
Text
AndreettaEtAl2021.pdf - Published Version

Download (1MB) | Preview

Abstract

To test the idea that poetic meter emerged as a cognitive schema to aid verbal memory, we focused on classical Italian poetry and on three components of meter: rhyme, accent, and verse length. Meaningless poems were generated by introducing prosody-invariant non-words into passages from Dante’s Divina Commedia and Ariosto’s Orlando Furioso. We then ablated rhymes, modified accent patterns, or altered the number of syllables. The resulting versions of each nonpoem were presented to Italian native speakers, who were then asked to retrieve three target non-words. Surprisingly, we found that the integrity of Dante’s meter has no significant effect on memory performance. With Ariosto, instead, removing each component downgrades memory proportionally to its contribution to perceived metric plausibility. Counterintuitively, the fully metric versions required longer reaction times, implying that activating metric schemata involves a cognitive cost. Within schema theories, this finding provides evidence for high-level interactions between procedural and episodic memory.

Type: Article
Title: In poetry, if meter has to help memory, it takes its time [version 2; peer review: 2 approved, 2 not approved]
Open access status: An open access version is available from UCL Discovery
DOI: 10.12688/openreseurope.13663.2
Publisher version: https://doi.org/10.12688/openreseurope.13663.2
Language: English
Additional information: © 2023 Andreetta S et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
Keywords: Schema theory, Memory retrieval, Hendecasyllables, Sequence replay, Dynamical attractors
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > The Sainsbury Wellcome Centre
URI: https://discovery.ucl.ac.uk/id/eprint/10204621
Downloads since deposit
11Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item