Here's mine:
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"Color space: A color space is a scientifically defined portion of human
vision. A color space may be defined with any color model. The RGB
values R10,G100,B10 have no meaning by themselves other than the
color is mostly some kind of green. By using a color space definition, the
same set of values can be translated into one of the scientific color models,
giving the values exact meaning. Having a set of RGB values associated
with a color space allows for the exact reproduction of the color. "
The above quote was without attribution, so I don't know whose definition that is nor do I know if it is accepted by the scientific community. However, if one does use that definition, then a raw file or a digital camera does not have a color space, since as Thomas Knoll has stated on 1/18/08 9:36 AM,:
"The fact that a mosaic array is “grayscale” is a red herring in this argument. An early processing step fills in the missing values, and you have a 3 or 4 channel image as a result. For most cameras, if you just “assign” a working space RGB profile, you get a recognizable color image as a result, so it certainly seems like a color space.
The camera color space differences from a more common working color space in that it does not have a unique one-to-one transform to and from CIE XYZ space. This is because the camera has different color filters than the human eye, and thus sees colors differently. Any translation from camera color space to CIE XYZ space is an approximation because of this."
Since the model is an approximation rather than exact it would not fulfill the definition. If you and Jeff want to go through these contortions so as save face, that's OK with me. Since I am not a color expert, I would accept the analysis put forth by Thomas Knoll, Chris Murphy, and Eric Walowit.