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Contextualizing /s/ retraction: Sibilant variation and change in Washington D.C. African American Language

Published online by Cambridge University Press:  24 January 2022

Kaylynn Gunter*
Affiliation:
University of Oregon
Charlotte Vaughn
Affiliation:
University of Oregon & University of Maryland
Tyler Kendall
Affiliation:
University of Oregon
*
*Corresponding author. E-mail: kgunter@uoregon.edu
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Abstract

Recent work has demonstrated an ongoing change across varieties of English in which /s/ retracts before consonants, particularly before /tɹ/ clusters (e.g., Lawrence, 2000; Shapiro, 1995; Stuart-Smith et al., 2019). Much of this work has focused on the social and linguistic distributions of /stɹ/ within single communities, without an examination of the broader sibilant space (e.g., /s/ and /ʃ/). Meanwhile, analyses across multiple corpora have shown that /s/ and /ʃ/ also show within-community variability, beyond /stɹ/ contexts (Stuart-Smith et al., 2019, 2020). Intersecting these approaches, this paper explores sibilant variation and change across /stɹ/, /s/, and /ʃ/ using a corpus of Washington D.C. African American Language (AAL). Results indicate that /stɹ/-retraction is a stable variant in this variety of AAL and /s/ and /ʃ/ show evidence of socially stratified variation and change. Overall, this paper demonstrates the need to examine the sibilant space more holistically when examining changes in /stɹ/.

Information

Type
Research Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Table 1. Demographic breakdown for CORAAL:DCB by Generation, Social Class, and Gender

Figure 1

Figure 1. Z-scored COG by category across all speakers and tokens in CORAAL:DCB.

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Table 2. Mean and standard deviation (SD) COG in raw Hz for each social grouping, by singleton /s/ and /ʃ/, and /stɹ/ tokens

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Figure 2. Individual speakers’ mean z-scored COG for each phone type, illustrating speakers’ mean sibilant spaces. Each phone category (shading) is represented with a line of best fit. Social class (shape), and gender (fill) are included as the social factors of interest. Vertical lines represent breaks in YOB corresponding to generational cohorts.

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Figure 3. A: predicted values for Gender from LMER model of /stɹ/; Gender is significant (p < 0.05). B: Predicted values for Generation; Generation is not significant. Note that Gender is scaled in the model, but we have plotted the term categorically here for ease of interpretation.

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Table 3. /stɹ/ model output, p-values calculated via Wald-t test. Mean z-scored COG and n provided where appropriate with values indicated for each level of coding (brackets match bracketed level in predictors column)

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Figure 4. Predicted values of significant interaction term for Generation and Following Environment from /s/ LMER model.

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Figure 5. A: Predicted values of the significant interaction between gender and following environment from /s/ LMER model; B: Predicted values for significant main effect of social class from /s/ LMER model.

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Table 4. /s/ model output, p-values calculated via Wald-t test. Mean z-scored COG and n provided where appropriate, with values indicated for each level of coding (brackets match bracketed levels in the predictors column)

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Figure 6. A: Predicted values of significant interaction term of Gender and Generation from /ʃ/ LMER model; B: Predicted values for significant main effect of social class.

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Table 5. /ʃ/ model output, p-values calculated via Wald-t test. Mean z-scored COG and n provided where appropriate. Means and ns indicated for contrast coded levels. Bracketed values align with the bracketed levels in the predictors column

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Figure 7. A: Raw /s/-/ʃ/ distance per speaker (n = 48) in Hz grouped by social class; B: Density plot of /s/ and /ʃ/ z-score COG across all tokens and speakers grouped by social class.

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Table 6. /s/-/ʃ/ distance (Hz) linear regression model output. Mean /s/-/ʃ/ distance and n for each level of the predictors included. Bracketed values align with the bracketed levels in the predictors column