Doubling the size of a corpus does not simply give you twice as much of the same kind of knowledge; past a certain threshold it changes what kind of question can be asked of the material at all. A close reading of ten texts and a distant reading of ten thousand are not the same method scaled up — they are different methods, revealing different structures, and mistaking one for a bigger version of the other produces analysis that is neither properly close nor properly distant. Scale, in this sense, is not a quantity added on top of a stable form of knowledge; it is a variable that reshapes the form itself as it moves. ScalarArchitecture names the deliberate design of a corpus so that its structure can support multiple valid scales of reading simultaneously, rather than optimising for one scale and treating every other as a degraded version of it. Most corpus projects fail not from insufficient data but from an architecture built for only one scale of attention.
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