What Does a Corpus of Music Represent? Commentary on “Diversity in Music Corpus Studies”

In Volume 30 (1) of this journal, Shea et al. (2024) introduce a novel sampling method called the "Anti-Discriminatory Alignment System" (or ADAS), which is designed to adjust the demographic distribution of artists in a corpus of music.In this commentary, I consider what a corpus created using the ADAS represents.I begin with a general discussion of corpus work in the context of foundational statistical principles.I then posit two different types of corpora that could be created to model the real world: music as heard and music as produced.A corpus created with the ADAS, in contrast, appears to be neither of these two types; instead, it appears to be a corpus of music as imagined, which models only a hypothetical statistical population.As a result, statistical findings from a corpus created with the ADAS may have limited explanatory power.If a researcher hopes to diversify the demographic distribution in a corpus of music, I argue that these attempts should occur not at the sampling stage but rather at an earlier stage, when the researcher is determining the particular statistical population to study.

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Publication Details

Journal
Music Theory Online
Published
2025-12-01
DOI
https://doi.org/10.30535/mto.31.4.9
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

What Does a Corpus of Music Represent? Commentary on “Diversity in Music Corpus Studies”

Trevor de Clercq
Music Theory Online
Music and Audio Processing
article

What Does a Corpus of Music Represent? Commentary on “Diversity in Music Corpus Studies”

Trevor de Clercq
article en

Abstract

In Volume 30 (1) of this journal, Shea et al. (2024) introduce a novel sampling method called the "Anti-Discriminatory Alignment System" (or ADAS), which is designed to adjust the demographic distribution of artists in a corpus of music.In this commentary, I consider what a corpus created using the ADAS represents.I begin with a general discussion of corpus work in the context of foundational statistical principles.I then posit two different types of corpora that could be created to model the real world: music as heard and music as produced.A corpus created with the ADAS, in contrast, appears to be neither of these two types; instead, it appears to be a corpus of music as imagined, which models only a hypothetical statistical population.As a result, statistical findings from a corpus created with the ADAS may have limited explanatory power.If a researcher hopes to diversify the demographic distribution in a corpus of music, I argue that these attempts should occur not at the sampling stage but rather at an earlier stage, when the researcher is determining the particular statistical population to study.

Music Theory OnlineVol. 31(4)
Middle Tennessee State University (US)
Society for Music Theory
Openalex Percentile: Top 32%
Music and Audio Processing
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