Fr. 136.00

Knowledge Production in Mao-Era China - Learning From the Masses

English · Hardback

Shipping usually within 3 to 5 weeks

Description

Read more










This book examines public discourse on the production and dissemination of scientific and technological knowledge in Mao-era China. With three case studies on agricultural mechanization, steel production, and veterinary medicine, the authors argue that the party-state pursued a pragmatist model of modernization.

List of contents










List of Figures
Acknowledgments
Introduction
Chapter 1 Defining Correct Science-Transformations of Knowledge Epistemologies
Chapter 2 Creating the People's Science: Science Dissemination as a Social Process
Chapter 3 Promising a Bright Future: The (Half-)Mechanization of Agricultural Production
Chapter 4 Producing Knowledge on the Shopfloor: Technological Innovation in Socialist
Industrialization
Chapter 5 Creating a Bifurcated Knowledge System-the Case of Chinese Veterinary Medicine
Chapter 6 Re-shuffling Science in the Reform Era
Bibliography
Index
About the Author


About the author










Rui Kunze is a research fellow at Friedrich-Alexander University Erlangen-Nüremberg.

Marc Andre Matten is professor of contemporary Chinese history at Friedrich-Alexander University Erlangen-Nüremberg.


Product details

Authors Rui Kunze, Rui Matten Kunze, Marc Andre Matten, Matten Marc Andre
Publisher Lexington Books
 
Languages English
Product format Hardback
Released 15.10.2021
 
EAN 9781498584616
ISBN 978-1-4985-8461-6
No. of pages 196
Subjects Humanities, art, music > History > Regional and national histories

China, HISTORY / Asia / China, TECHNOLOGY & ENGINEERING / History, Asian History, History of engineering & technology

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.