I found the answer for those who may be interested.
Osborne (2010) explains that the raw variable needs to be reflected prior to running the negative fractional exponent:
To take the inverse of a
number (x) is to compute 1/x. What this does is
essentially make very small numbers (e.g., 0.00001) very
large, and very large numbers very small, thus reversing
the order of your scores (this is also technically a class of
transformations, as inverse square root and inverse of
other powers are all discussed in the literature).
Therefore one must be careful to reflect, or reverse the
distribution prior to (or after) applying an inverse
transformation. To reflect, one multiplies a variable by
-1, and then adds a constant to the distribution to bring
the minimum value back above 1.00 (again, as numbers
between 0.00 and 1.00 have different effects from this
transformation than those at 1.00 and above, the
recommendation is to anchor at 1.00).
See link to his article: http://pareonline.net/pdf/v15n12.pdf