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Structure, Chronology, and Local Social Meaning of a Supra-Local Vowel Shift: Emergence of the Low-Back-Merger Shift in New England

Published online by Cambridge University Press:  11 October 2021

Monica Nesbitt*
Affiliation:
Indiana University nesbittm@indiana.edu
James N. Stanford
Affiliation:
Dartmouth College James.N.Stanford@Dartmouth.edu
*
*Corresponding author.
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Abstract

The Low-Back-Merger Shift (LBMS) is a major North American vowel chain shift spreading across many disparate dialect regions. In this field-based study, we examine the speech of fifty-nine White Western Massachusetts speakers, aged 18–89. Using diagnostics in Becker (2019) and Boberg (2019b), we find the LBMS emerging at the expense of the Northern Cities Shift (Labov, Yaeger, & Steiner, 1972) and traditional New England features (Boberg, 2001; Kurath, 1939; Nagy & Roberts, 2004). In Becker's LBMS model (2019:9), the low-back merger (lot-thought) triggers front-vowel shifts. Our results suggest that local social meaning can sometimes override this chronology such that the front-vowel shifts occur before the low-back merger, even as the overall configuration comes to match Becker's predictions. Sociosymbolic meaning associated with the older New England system has led to a different temporal ordering of LBMS components, thus providing new theoretical and empirical insights into the mechanisms by which supralocal patterns are adopted.

Information

Type
Research Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Figure 1. New England regions according to the ANAE map 16.4 as adapted by Charles Carson in Stanford, Leddy-Cecere, & Baclawski (2012, Fig. 3, American Speech). Black dots indicate a fronted start. Used with permission.

Figure 1

Figure 2. Current status of the lot-thought merger based on a prior study that elicited online audio recordings for acoustic sociophonetic analyses. Speaker mean F1/F2 Euclidean distances between lot-thought for 588 speakers (14,474 tokens), plotted in quartiles. Darker dots indicate smaller Euclidean distance. Reproduced from Stanford (2019:89, Fig. 4.7) with permission of Oxford University Press.

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Figure 3. A typical Northern Cities Shift vowel configuration.

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Figure 4. LBMS vowel configuration.

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Figure 5. Oldest speakers: Front and low vowel space representing average vowel class values for the five oldest speakers (1930s birth years) in the current Western Massachusetts sample.

Figure 5

Figure 6. Youngest speakers: Front and low vowel space representing average vowel class values for the five youngest speakers (2000s birth years) in the current Western Massachusetts sample.

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Table 1. Summary Results for start, palm, and mary/merry/marry: Regression table showing main effect of birth year for predicting Lobanov-normalized F1 and F2 of linguistic features (* = p < 0.05; ** = p < 0.01; *** = p < 0.001)

Figure 7

Figure 7a-b. palm and start over apparent time in our Western Massachusetts data. Each point is a token in our corpus. (a) The upper plot displays F1 values. (b) The lower plot displays F2 values.

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Table 2. Regression results showing main effect of birth year for predicting Lobanov-normalized F1 and F2 of linguistic features (* = p < 0.05; ** = p < 0.01; *** = p < 0.001)

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Table 3. Regression results showing main effect of birth year for predicting lot-thought and palm-thought merger (Pillai Statistic). (* = p < 0.05; ** = p < 0.01; *** = p < 0.001)

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Figure 8. palm-thought Pillai-Bartlett Statistic values over apparent time in our Western Massachusetts data. The Pillai-Bartlett Statistic quantifies the amount of overlap between the two vowel classes. A value of zero represents complete overlap.

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Figure 9. lot-thought Pillai-Bartlett Statistic values over apparent time in Western Massachusetts.

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Table 4. Regression results showing main effect of birth year for predicting Lobanov-normalized F1 and F2 of lot and palm. Reference level 1930. (* = p < 0.05; ** = p < 0.01; *** = p < 0.001)

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Figure 10. LBMS index scores over apparent time in our Western Massachusetts data. The index measures the amount of distance in F1/F2 space between fleece and the short-front vowels (bat, dress, kit). A higher score indicates more distance.