"Unfortunately, I can't find the Nyquist paper online anywhere (I originally read it off microfilm a couple decades back) so the Wikipedia article (not the one you quoted, the other one I linked) is the best I can do for references."
What you really mean is: "My attempt to try and argue myself out of this massive hole I've dug by using a combination of Google and Wikipedia rather than actually understanding of the topic has failed, but I'm still too insecure to admit I was wrong explicitly.". You can't argue your way out of this hole by simply quoting the names of papers and algorithms you've found on Google and Wikipedia in a desperate attempt to try and sound smart all the whilst showing a complete lack of clue about what any of it actually means in practice.
"I have to ask you though, why is it okay for you to insist that "sharp" has different definitions between digital imaging and photography"
It's not about difference in defintion, it's about difference in factors that can cause loss of sharpness. In photography loss of focus is the key thing that causes loss of detail, but in computer graphics there are other things - pixelation by reduced resolution for example.
If you think having read the defintion of blur that it backs up your position, then you're still just desperately clutching at straws to avoid just admitting you were wrong. Have a look at an aliased vs. an anti-aliased screenshot, zoom in to see what anti-aliasing does. The definition of anti-aliasing you linked states:
"make or become unclear or less distinct."
This is EXACTLY what anti-aliasing does, the whole point in it is to make strikingly pixelated areas look less pixelated, this is why I provided you the simple nVidia link, because it shows with a basic example the effects of anti-aliasing - it reduces jagged pixelated edges by blurring them into surrounding edges - it reduces the distinct pixelation by making it less distinct so that to the human eye in intended viewing conditions the edge looks more like a sharp diagonal line than a jagged pixelated mess.
Oh, and by the way, the way you make multiple posts in reply to me and yourself? It's like a desperation meter, the more desperate your argument gets the more desperately you flood the discussion. It's quite amusing.