Inverted Mirror

Regular price €116.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Michael Nolan
Author_Michael Nolan
Category=JPS
Category=NHD
eq_bestseller
eq_history
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
History: 20th Century to Present

Product details

  • ISBN 9781571816696
  • Weight: 381g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Nov 2004
  • Publisher: Berghahn Books, Incorporated
  • Publication City/Country: US
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

It is hard to imagine nowadays that, for many years, France and Germany considered each other as "arch enemies." And yet, for well over a century, these two countries waged verbal and ultimately violent wars against each other. This study explores a particularly virulent phase during which each of these two nations projected certain assumptions about national character onto the other - distorted images, motivated by antipathy, fear, and envy, which contributed to the growing hostility between the two countries in the years before the First World War. Most remarkably, as the author discovered, the qualities each country ascribed to its chief adversary appeared to be exaggerated or negative versions of precisely those qualities that it perceived to be lacking or inadequate in itself. Moreover, banishing undesirable traits and projecting them onto another people was also an essential step in the consolidation of national identity. As such, it established a pattern that has become all too familiar to students of nationalism and xenophobia in recent decades. This study shows that antagonism between states is not a fact of nature but socially constructed.

Michael Nolan received his Masters degree from the University of Massachusetts at Amherst and his doctorate from Brandeis University. He currently teaches at Western Connecticut State University in Danbury.

More from this author