What Does a Corpus of Music Represent? Commentary on “Diversity in Music Corpus Studies”
Bibliographic Data
| ID | 21639092 |
|---|---|
| Authors | Trevor De Clercq (0000-0002-0718-9526, Middle Tennessee State University, corresponding author) |
| Year | 2025 |
| Volume | 31 |
| Issue | 4 |
| Publication date | 2025-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Music Theory Online (JOURNAL) |
| Journal identifiers | ISSN: 1067-3040 • E-ISSN: 1067-3040 |
| Publisher | Society for Music Theory (PUBLISHER • US) |
| DOI | 10.30535/mto.31.4.9 |
| OpenAlex | W7124568172 |
| Language | EN |
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
Corpus linguistics · Musical · Popular music · Computational and Text Analysis Methods · Language and cultural evolution · Music and Audio Processing
| Citation velocity | historical |
|---|---|
| Highly cited | No |