JOURNAL ARTICLE
Event-based time in Polish culture and language.
Published In: International Journal of Language & Culture, 2024, v. 11, n. 2. P. 211 1 of 3
Database: Communication Source 2 of 3
Authored By: Góral, Michal Stanislaw; Guerra de La Torre, Juana Teresa 3 of 3
Abstract
This paper deals with a corpus study of event-based time concepts. Here we investigate their use in time reckoning practices in modern Polish culture and language. The results presented here are based on a cognitive-conceptual and linguistic analysis of the Polish National Linguistic Corpus (NKJP). These results suggest that Polish has rich inventories of lexical and phrasal expressions for event-based time intervals based on environmental and celestial indices and social norms that have not previously been described from a cognitive, anthropological, and cultural perspective. Event-based time intervals found in domains of times of day and night, are here presented. We hypothesize that even when the Polish language employs conventional metric (calendar and clock) time units, the hybrid blends of day/night cycle and cardinal directions (north, south, east, west) could reveal an emergent form of time conceptualization. This conceptual and cultural hybridization is still common among the users of the Polish language and is indicative of complexity and dynamism in body-environment interactions. This interaction is schematized in twofold conceptual constructions of event-based and metric time, blending processes that may generate more creative enactions as an alternative to the mechanical 24-hour system. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Language & Culture. 2024/07, Vol. 11, Issue 2, p211
- Document Type:Article
- Subject Area:Language and Linguistics
- Publication Date:2024
- ISSN:2214-3157
- DOI:10.1075/ijolc.00064.gor
- Accession Number:185689586
- Copyright Statement:Copyright of International Journal of Language & Culture is the property of John Benjamins Publishing Co. 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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