Classification :: avoid cross-classification

Cross classification is a common issue I end up being a victim of. In this article, I want to expose that problematic and how I reoriented my classification strategies in order to avoid those and even more than just than, show up the innovation I’ve created and who transcend and dominates the problems of cross-classification

The first of these is to avoid cross-classification: a one-dimensional classification should normally depend on the value of a single characteristic of the object classified, should provide for discrete (non-overlapping) values, and should allow for all values which will be encountered

A Companion to Digital Humanities
Schreibman, S., Siemens, R., & Unsworth, J. (2004). Companion to Digital Humanities (Blackwell Companions to Literature and Culture) (Hardcover). Oxford: Blackwell Publishing Professional. Retrieved from Cite 1

Source: A Companion to Digital Humanities

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Writing about cross-classification :


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