Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Educators and power-brokers: Political mobilization and violence in Wannian County (Jiangxi province) 1926-1935

Ferlanti, Federica ORCID: https://orcid.org/0000-0002-8284-3663 2020. Educators and power-brokers: Political mobilization and violence in Wannian County (Jiangxi province) 1926-1935. Twentieth-Century China 45 (3) , pp. 227-246. 10.1353/tcc.2020.0023

[thumbnail of Federica Ferlanti Educators and Power-brokers.pdf]
Preview
PDF - Accepted Post-Print Version
Download (690kB) | Preview

Abstract

This article examines the actions, politicization, and mobilization of Guomindang (GMD) revolutionary local elites of the late Qing generation, with attention to the changing roots of their power. It tackles the rapid demotion of local elites into “evil gentry,” how and why well-educated and respected individuals central to local education became enmeshed in violence, and how, in turn, this affected GMD assertion of control. This case study of upper-stratum elites in Wannian County in northeast Jiangxi between 1926 and 1935 challenges existing literature that centers only on the Communist revolution, the May Fourth generation of revolutionaries, local elites’ identification with traditional power holders, and the GMD’s local restoration of power. A focus on indigenous dynamics and GMD impact on local politics brings to light the importance of the diversity of local elites, the dynamic of power reconfiguration among them, and the fierce competition among elite groups over sources of power such as local schools.

Item Type: Article
Date Type: Publication
Status: Published
Schools: History, Archaeology and Religion
Publisher: Maney Publishing
ISSN: 1521-5385
Date of First Compliant Deposit: 24 September 2018
Date of Acceptance: 28 June 2018
Last Modified: 07 Nov 2023 11:42
URI: https://orca.cardiff.ac.uk/id/eprint/115188

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics