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Stylistic variation among mobile speakers: Using old and new regional variables to construct complex place identity

Published online by Cambridge University Press:  22 October 2018

Jennifer Nycz*
Affiliation:
Georgetown University
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Abstract

This paper examines stylistic variation in the (oh), (o), (aw), and (ay) classes among native speakers of Canadian English living in or just outside either New York City or Washington, DC. Speakers show evidence of change toward US norms for all four vowels, though only (aw) shows consistent style shifting: prevoiceless (aw) is realized with higher nuclei when speakers express ambivalence about or distance from the United States, and lower nuclei when closeness to or positive affect about the United States is being conveyed. Canadians in New York also show topic- and stance-based shift in (oh): (oh)s are higher when expressing positive affect or closeness to New York City and lower when expressing negative affect or distance. These results suggest that mobile speakers continue to exploit the socioindexical links in their native dialect while learning and using new links in their adopted dialect—but only if those links are socially salient.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2018 
Figure 0

Table 1. Speakers represented in this analysis

Figure 1

Figure 1. Prevoiceless (awT) and elsewhere (aw) tokens across speakers. In these and all following vowel plots, characters are plotted at the mean F1 and F2 value for each category, and confidence ellipses indicate 1 SD of the density contour estimated from the data.

Figure 2

Table 2. Mixed effects regression analysis of F1 of (aw)n = 1286Intercept = 783.73

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Table 3. Mixed-effects regression analysis of (awT) F1 containing nation:stance interactionn = 505Intercept = 763.50

Figure 4

Figure 2. Prevoiceless (ayT) and elsewhere (ay) tokens across speakers.

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Table 4. Mixed effects regression analysis of F1 of (ay)n = 2686Intercept = 843.42

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Table 5. Mixed-effects regression analysis of (ayT) F1 containing nation:stance interactionn = 1093Intercept = 736.65

Figure 7

Figure 3. (oh) and (oh) tokens across speakers.

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Table 6. Mixed-effects regression analysis of F1 & F2 for (o)/(oh)n = 3328Intercept = 768.87 (F1); 1367.52 (F2)

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Table 7. Summary of (oh) F1 model containing place:stance interactionn = 1015Intercept = 789.27

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Figure 4. Stance and (oh) height variation according to place topic. Each stance label is plotted at its mean value for a given place and speaker. Local refers to DC talk for Victoria and Bob and NYC talk for everyone else.

Figure 11

Table 8. Summary of (o) F1 model containing place:stance interactionn = 2106Intercept = 757.36