IMO the term “amplification” fits if the scheme results in a 1.) clear efficiency gain and 2.) it’s scalable. This looks like (delivering equivalent results but at a lower cost OR providing better results for an equivalent cost. (cost == $$ & time)), AND (~ O(n) scaling costs).
For example if there was a group of people who could emulate [Researcher’s] fact checking of 100 claims but do it at 10x speed, then that’s an efficiency gain as we’re doing the same work in less time. If we pump the number to 1000 claims and the fact checkers could still do it at 10x speed without additional overheard complexity, then it’s also scalable. Contrast that with the standard method of hiring additional junior researchers to do the fact checking—I expect it to not be as scalable (“huh we’ve got all these employees now I guess we need an HR department and perf reviews and...:)
It does seem like a fuzzy distinction to me, and I am mildly concerned about overloading a term that already has an association w/ IDA.
IMO the term “amplification” fits if the scheme results in a 1.) clear efficiency gain and 2.) it’s scalable. This looks like (delivering equivalent results but at a lower cost OR providing better results for an equivalent cost. (cost == $$ & time)), AND (~ O(n) scaling costs).
For example if there was a group of people who could emulate [Researcher’s] fact checking of 100 claims but do it at 10x speed, then that’s an efficiency gain as we’re doing the same work in less time. If we pump the number to 1000 claims and the fact checkers could still do it at 10x speed without additional overheard complexity, then it’s also scalable. Contrast that with the standard method of hiring additional junior researchers to do the fact checking—I expect it to not be as scalable (“huh we’ve got all these employees now I guess we need an HR department and perf reviews and...:)
It does seem like a fuzzy distinction to me, and I am mildly concerned about overloading a term that already has an association w/ IDA.