JOURNAL ARTICLE
The Sounds of Colours: A Pragmatic Study of Toni Morrison’s The Bluest Eye.
Published In: Misan Journal of Academic Studies, 2024, v. 23, n. 51. P. 34 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Adham, Rafah Abdulkareem; Hamid, Hassan Muayad 3 of 3
Abstract
Little is known about the pragmatic and cultural meanings of colours that authors use to deliver specific ideas and messages. It is still undetermined whether colours can express the speaker’s intended meaning. One of the areas that should be visited is the literary works with a long history of familiarity with colours. The present study scrutinizes the most frequently used colours in Toni Morrison’s The Bluest Eye (1970); it investigates their pragmatic and cultural meanings. It aims to determine the primary concept revealed through colours and identify the most flouted maxim in the novel. The main question that the study tries to answer is what are the most frequent colours and their cultural sounds in Morrison’s The Bluest Eye that determine the main concept by pinpointing the most flouted maxim. It is hypothesized that blue, white and black are the most common colours in the investigated contexts. Racial discrimination is the central concept shown through flouting quality maxim. Randomly selected extracts are analysed according to a model based on Grice’s (1975) Maxims Breaching. In the present study, data has been approached qualitatively. The study has come up with certain conclusions to prove the above hypotheses such as it is found that blue, white and black are the most used colours. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Misan Journal of Academic Studies. 2024/09, Vol. 23, Issue 51, p34
- Document Type:Article
- Subject Area:Literature and Writing
- Publication Date:2024
- ISSN:1994-697X
- DOI:10.54633/2333-023-051-004
- Accession Number:180349431
- Copyright Statement:Copyright of Misan Journal of Academic Studies is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.