BOBC

WIKINDX Resources

Guillaume, Isabelle: "Women W.a.R.P.ing Gender in Comics. Wendy Pini’s Elfquest as mixed power fantasy." In: Revue de recherche en civilisation américaine 6 (2016), <http://journals.openedition.org/rrca/755> (3. März 2020) 
Added by: joachim (03/03/2020 11:01:41 AM)   
Resource type: Web Article
Languages: English
Peer reviewed
BibTeX citation key: Guillaume2016
Email resource to friend
View all bibliographic details
Categories: General
Keywords: "Elfquest", Alternative Comics, Fantasy, Gender, Pini. Richard, Pini. Wendy, USA
Creators: Licari-Guillaume
Collection: Revue de recherche en civilisation américaine
Views: 10/120
Attachments   URLs   http://journals.openedition.org/rrca/755
Abstract
Elfquest made history as one of the first successful alternative comics of the late 1970s. It is set apart by its large female readership, its non-superheroic themes and the unusual graphic style of its author, Wendy Pini. However, Elfquest has drawn very little attention among gender critics, who prefer to devote their efforts to openly subversive material.
In this paper, I argue that Elfquest is in fact a halfway house between the mainstream comics tradition and the all-out radicalism of the feminist underground. The series can be read as a mixed power fantasy which combines Kirby’s graphic heritage with Eastern influences, thus creating strong characters whose appearance resonates with female tastes and experience.
In a move reminiscent of cultural feminism, the series reappraises traditionally feminine values; yet it is never essentialist. Pini’s fantasy narrative creates a safe space for female readers and affirms the importance of tolerance, solidarity, and individual freedom.
  
WIKINDX 6.4.10 | Total resources: 13544 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: Comicforschung-Bibliographie Stil (CFB)


PHP execution time: 0.02630 s
SQL execution time: 0.10170 s
TPL rendering time: 0.00183 s
Total elapsed time: 0.12983 s
Peak memory usage: 1.2939 MB
Memory at close: 1.2430 MB
Database queries: 68