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Demarcating place authenticity in the CHICAGO vowel

Published online by Cambridge University Press:  11 June 2026

Annette D'Onofrio*
Affiliation:
Linguistics Department, Northwestern University, USA
Michael Senko
Affiliation:
Linguistics Department, Stanford University, USA
*
Corresponding author: Annette D'Onofrio; Email: donofrio@northwestern.edu
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Abstract

This article analyzes variation in and metalinguistic commentary surrounding the primary stressed vowel of the place-name ‘Chicago’. Sociolinguistic interview data with fifty-six lifelong Chicagoans from two adjacent neighborhoods reveal both social variation and apparent time evolution in the phonetic manifestation and phonemic patterning of the CHICAGO vowel. Contrastive metalinguistic ideologies substantiate this variation, as different speakers map ‘authentic’ versus ‘inauthentic’ Chicagoness to opposite phonemic variants. While previous work on place-names proposed linkages between place identity and linguistic material that can articulate stances toward geographic areas, we document inverted semiotic mappings among residents who otherwise share the same positive orientation to their neighborhood. We draw upon locally constructed chronotopes to account for the inverse polarization characterizing the CHICAGO vowel. We ultimately argue for dynamic conceptions of place-based linguistic features that attend more closely to the ideologically productive nature of local identity. (Authenticity, place, race, sociolinguistic variation, differentiation, chronotope)

Information

Type
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 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press.
Figure 0

Figure 1. Map of Chicago community areas featuring Beverly (diagonal hashes) and Morgan Park (dots).Figure 1 long description.

Figure 1

Figure 2. CHICAGO-LOT Euclidean distance (black line) and CHICAGO-THOUGHT Euclidean distance (gray line) for one vowel token from one speaker.Figure 2 long description.

Figure 2

Table 1. Summary of regression model fixed effects predicting Lobanov-normalized F1 of CHICAGO tokens at midpoint (N = 847).Table 1 long description.

Figure 3

Table 2. Summary of regression model fixed effects predicting Lobanov-normalized F2 of CHICAGO tokens at midpoint (N = 847).Table 2 long description.

Figure 4

Figure 3. Midpoint Lobanov-normalized F1 measurements for CHICAGO vowel tokens, by speaker birth year and race-gender group. Lines show linear smooths by race-gender group.Figure 3 long description.

Figure 5

Figure 4. Midpoint Lobanov-normalized F2 measurements for CHICAGO vowel tokens, by speaker birth year and race-gender group. Lines show linear smooths by race-gender group.Figure 4 long description.

Figure 6

Figure 5. Midpoint Lobanov-normalized F1 measurements (left) and F2 measurements (right) for LOT vowel tokens, by speaker birth year and race-gender group. Lines show linear smooths by race-gender group.Figure 5 long description.

Figure 7

Table 3. Summary of linear regression model fixed effects predicting Lobanov-normalized F1 of LOT tokens at midpoint (N = 1521).Table 3 long description.

Figure 8

Table 4. Summary of linear regression model fixed effects predicting Lobanov-normalized F2 of LOT tokens at midpoint (N = 1521).Table 4 long description.

Figure 9

Figure 6. Midpoint Lobanov-normalized F1 measurements (left) and F2 measurements (right) for THOUGHT vowel tokens, by speaker birth year and race-gender group. Lines show linear smooths by race-gender group.Figure 6 long description.

Figure 10

Table 5. Summary of linear regression model fixed effects predicting Lobanov-normalized F1 of THOUGHT tokens at midpoint (N = 1263).Table 5 long description.

Figure 11

Table 6. Summary of linear regression model fixed effects predicting Lobanov-normalized F2 of THOUGHT tokens at midpoint (N = 1263).Table 6 long description.

Figure 12

Table 7. Summary of social fixed effects predicting Lobanov-normalized formant values among high frequency word data sets for LOT (N = 398) and THOUGHT (N = 328).Table 7 long description.

Figure 13

Figure 7. Mean F1 and F2 for CHICAGO, LOT and THOUGHT vowel classes, by vowel following phonological environment (velar versus nonvelar segment) and race-gender group.Figure 7 long description.

Figure 14

Table 8. Summary of regression model fixed effects predicting LOT–THOUGHT Euclidean distance difference measurements for CHICAGO vowel tokens (N = 847).Table 8 long description.

Figure 15

Figure 8. LOT-THOUGHT Euclidean distance difference measurements for CHICAGO vowel tokens, by speaker birth year and race-gender group. Lines show linear smooths by race-gender group. Positive LT Difference = closer to THOUGHT, negative = closer to LOT.Figure 8 long description.

Figure 16

Table 9. Meta-linguistic descriptor words used in relation to CHICAGO variants, and number of instances used throughout all interviews in the speaker sample.Table 9 long description.

Figure 17

Figure 9. Schematic depiction of inverted semiotic mappings assigned to LOT and THOUGHT in producing authentic place belonging.Figure 9 long description.