E. repro concerns the validity of individual experiments. Sharing data, code, and writing papers allow us to assess the merits of experiments, but only partially allow us to assess the validity of scientific claims.
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"Implementation-only details, for example, might need to be upgraded to theory-level if they turn out to be imperative to modelling a certain effect."
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"And vice versa, theory-level assumptions could be relaxed if it is found that other important aspects of the theory are nonetheless captured with a variety of implementations."
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Interestingly analogous to one of the principles of Model-Driven (IT) Architecture: "Raise the level of abstraction", back at the turn of the century. Intended to make designs usable across implementations and easier to understand. http://www.methodsandtools.com/archive/archive.php?id=5 …
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(Probably too detailed to read it all now but I was amused by the idea that there's a level of abstraction where the ideas converge
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I'll check this out! Thanks!
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LMK if you are interested in it, I could probably save some time for you by finding something less cluttered with then-current technology. Unfortunately I no longer have access to my teaching material.
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Is it really that confusing? Hahah
End of conversation
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