Joris of the Rock

Joris of the Rock is a fantasy novel by Leslie Barringer, the second book in his three volume Neustrian Cycle. It is set around the fourteenth century in an alternate medieval France called Neustria (historically an early division of the Frankish kingdom). The book was first published in the United Kingdom by Heinemann in 1928; an American edition followed from Doubleday in 1929. Its significance was recognized by its republication by the Newcastle Publishing Company as the ninth volume of the celebrated Newcastle Forgotten Fantasy Library series in September, 1976. The Newcastle edition was reprinted by Borgo Press in 1980 and 2010.[1]

Joris of the Rock
First edition dust cover
AuthorLeslie Barringer
CountryUnited Kingdom
LanguageEnglish
SeriesNeustrian Cycle
GenreHistorical fantasy novel
PublisherWilliam Heinemann
Publication date
1928
Media typePrint (Hardback)
Pages325 pp
Preceded byGerfalcon (1927) 
Followed byShy Leopardess (1948) 

Reception

A review in the Manchester Guardian characterized Joris of the Rock as a "period novel" in contrast to a historical one, and called it "a robust, a teaming book," "a tensely plotted tale which marches at swinging pace to bear witness to its author's rich inventiveness."[2]

Notes

  1. Joris of the Rock title listing at the Internet Speculative Fiction Database
  2. B., H. "Books of the Day. New Novels. The Period Novel. Joris of the Rock." in The Manchester Guardian, October 19, 1928, page 7.

Sources

gollark: No, lambda calculus is a relatively simple model you can understand fairly easily.
gollark: And with neural networks, you don't actually know *how* the network does its job, just that you feed in pixels and somehow get classification data out.
gollark: There is still not, as far as I know, an approach to detect what an object is other than just training neural networks on the task.
gollark: It's simple to say, for example, "the program should detect if something is a bird", but incredibly hard to actually explain how to detect birds.
gollark: Yes. A lot of the time something can be simple to *vaguely describe* but really hard to describe precisely enough for you to actually program it.
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