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Phonological emergence and social reorganization: Developing a nasal /æ/ system in Lansing, Michigan

Published online by Cambridge University Press:  13 October 2023

Monica Nesbitt*
Affiliation:
Indiana University, USA
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Abstract

Phonological rule innovation is thought to come about via reanalysis of some phonetic variation (e.g., Bermúdez-Otero, 2007; Hyman, 1975; Ohala, 1981; Pierrehumbert, 2001). Yet, empirical evidence suggests instead that the role of phonetic variation during phonological rule innovation is minor (Fruehwald, 2013, 2016). This paper adds to this ongoing debate an empirical analysis of an emergent allophonic contrast—an “/æ/ nasal system”—in White Michigan English. Analyses of speaker-level acoustic data from a sociolinguistic corpus (n = 36) and a subphonemic judgment task (n = 107) suggest that Lansing exhibits gradual phonological rule emergence. Social conditioning appears to act as the catalyst of phonological rule formation and its spread. The mechanism of actuation was thus “the chance alignment of social and phonetic variability” (Baker, Archangeli, & Mielke, 2011), suggesting that social conditioning on phonetic variability must play a major role in phonological emergence.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press.
Figure 0

Table 1. Distribution of the Lansing Speech Corpus by generation, social class, and gender1

Figure 1

Figure 1. Three Lansing /æ/ systems: Jack Down (born 1924), advanced raised continuous system; Michelle Baulch (1971), continuous system; Ben Langdon (1994), nasal system.

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Figure 2. Per token diagonal measurement of /æ/ in three following phonological contexts by speaker year of birth in twentieth century Lansing.

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Figure 3. Per speaker Pillai-Bartlett score of prenasal and preoral /æ/ distribution by generational cohort, gender, and social class in twentieth century Lansing.

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Table 2. ANOVA on Pillai-Bartlett values in twentieth century Lansing (n = 36)

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Table 3. Distribution of judgment task participants by generational cohort, socioeconomic status, and gender

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Table 4. Subphonemic judgment task conditions with example CVC lexical pairs

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Table 5. Counts and percentages of different responses by generation and social class

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Figure 4a. Distribution of different responses to Condition 1 (PAT-PAN) and Condition 2 (PAT-PASS) pairs over time.

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Figure 4b. Speaker-level distribution of different responses to Condition 1 (PAT-PAN) and Condition 2 (PAT-PASS) pairs over time.

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Table 6. Mixed-effects binomial regression model for responses to CæC lexical pairs

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Figure 5. Distribution of responses to Condition 1 pairs (PAT-PAN) compared to Condition 2 pairs (PAT-PASS) over generational time and by Social Class (white-collar respondents at the top).

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Figure 6. Distribution of responses to prenasal and preoral /æ/ over generational time, by social class (white-collar respondents at the top) and gender (women on the left).

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Table A1. Pairs of lexical items for the Sub-Phonemic Judgment Task