Peasants' Fatalistic Thinking in Chinese Communism: an Analysis of a Rural Family's Oral History.

Saved in:
Bibliographic Details
Title: Peasants' Fatalistic Thinking in Chinese Communism: an Analysis of a Rural Family's Oral History.
Authors: Jiang, Chengyang (AUTHOR)
Source: Integrative Psychological & Behavioral Science. Jun2022, Vol. 56 Issue 2, p355-367. 13p.
Subjects: Rural families, Oral history, Chinese Communist Party, Social conflict, Peasants, Communism
Geographic Terms: China
Abstract: In this paper, I examine a Chinese family's oral history, which revolves around their tumultuous life transformations under the impact of China's communist movement between 1940 and 1977. Using interviews with four siblings who have distinctive personalities and life narratives, I focus on how they apply fatalistic thinking—a phenomenon popular among ordinary Chinese but is rarely analyzed by scholars—to make sense of the vicissitudes of the fates of the family members. I position the Chinese family's oral history in macro and micro contexts. In the macro context, since the land reform in 1940s, the Chinese Communist Party (CCP) had attempted to replace peasants' fatalistic thinking with class analysis to explain the roots of hardships in their lives. As the communist movement and class struggle receded, fatalistic thinking—which has never been eradicated—revived. In the micro context, fatalistic thinking is expressed through distinctive memories and narratives, which are linked to personalities and identities. I argue that fatalistic thinking is a mean of self-construction that people consciously or unconsciously resort to when facing absurdity. By using fatalistic thinking, people develop narratives about the self and create a sense of mental balance. [ABSTRACT FROM AUTHOR]
Copyright of Integrative Psychological & Behavioral Science is the property of Springer Nature 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.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first