The Book of Shadows (Mage: The Ascension)

The Book of Shadows is a supplement published by White Wolf Publishing in 1993 for the fantasy role-playing game Mage: The Ascension.

Contents

The Book of Shadows is a 208-page softcover book that presents new options for players. The long list of contributing writers includes Writers: Emrey Barnes, Bill Bridges, Steve Brown, Phil Brucato, Brian Campbell, Sam Chupp, Beth Fischi, Don Frew, Daniel Greenberg, William Hale, Harry Heckel, Sam Inabinet, Darren McKeeman, Judith A. McLaughlin, Jim Moore, Kevin Murphy, John R. Robey, Kathleen Ryan, Steve Wieck, Ehrik Winters, and Teeuwynn Woodruff. Interior art was by James Crabtree, Scott Johnson, Matt Korteling, Robert MacNeill, Dan Smith, Joshua Gabriel Timbrook, Lawrence Allen Williams, and Jeff Wright, and the cover photo was by Larry Schnelli.[1]

New rules for play include

  • new character merits and flaws
  • new spells and talismans
  • new material concerning Traditions and Conventions
  • martial arts
  • familiars
  • "Certamen" duels[1]

Reception

In the December 1994 edition of Dragon (Issue #212), Allen Varney liked the product, saying that it "shows a wide variety of viewpoints, but remarkably consistent quality." Varney was impressed by the sheer magnitude of new material offered, as well as the narrative at the beginning of each chapter that "saturates the reader with story." He had issues with the "unsightly" book design featuring text "printed against gray-screened backgrounds in a variety of distracting patterns." He also noted the many editing errors, saying, "White Wolf staffers are only starting to pass disciple rank in the Sphere of Proofreading." However, he concluded that this book is "essential to Mage game players and Storytellers alike. Its imagination, intense commitment to story values, and subtle messages of tolerance make it a pleasure to read and a vital tool for understanding the game’s complex campaign world."[1]

Reviews
  • Pyramid Vol. 1, #12 (March/April, 1995)
gollark: Those are different things, though. A face recognition model is going to be trained on a lot of people's faces, and can then generically match faces together. You can then use that to encode someone's face into an embedding vector you can use for matching.
gollark: I had assumed this stuff was now ML-based and so you would just compare embedding vectors or something.
gollark: What are they eigenvectors *of*, exactly?
gollark: eigen is "own" or something, and apparently people prefer that over "characteristic vector/value".
gollark: Yes, the term comes from that for mysterious reasons.

References
  1. Varney, Allen (December 1994). "Roleplaying Reviews". Dragon. TSR, Inc. (212): 91–92.
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