One of our readings this week was “Classification and its Structures” (Sperberg-McQueen), which explained the potential uses for a classification scheme and described different types of classification schemes. Nominal classifications were the first to be introduced, and they appeared to be the simplest: the different classes in the scheme are “discrete classes which, taken together, subdivide the set of things being classified.” Nominal classifications are easy enough if the different classes remain distinct; however, problems can emerge when the data grows over time to such an extent that the classification scheme demands additional classes, many of which have the potential for shared characteristics.

The article described this situation as a classification scheme that allowed for “variable depth.” Sperberg-McQueen’s example of the Dewey system subdividing the class of English drama (itself already a subdivision) by period made me wonder if anyone had tried to apply a similar system to music. iTunes sorts everything into about twenty generic classes, but it is pretty clear that a label like “Alternative” is so broad that it has the potential to encompass many very divergent acts. After a little research, I found the project Every Noise at Once, which displays impressive specificity in its attempt to represent every music genre conceivable.


According to the website, Every Noise at Once is “an ongoing attempt at an algorithmically-generated, readability-adjusted scatter-plot of the musical genre-space, based on data tracked and analyzed for 1284 genres by The Echo Nest.” In addition to that brief description of the project, the home page also includes ins tructions for browsing the website, and although the “calibration is fuzzy,” there does appear to be some sort of order to the visual representation of the data. Although the site might not function very well as a music discovery tool, the website incorporates so many subdivisions that finding relevant acts becomes a surprisingly efficient process. Understandably, there is some overlap between genres when searching by artist, and the website does not attempt to explain the distinctions that are being made, but it is still a very systematic look at a data set that had a number of possible organizational schemes.