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Perceptions of regional origin and social attributes of phonetic variants used in Iberian Spanish

Published online by Cambridge University Press:  22 September 2023

Nicholas Henriksen*
Affiliation:
University of Michigan, Ann Arbor, MI, USA
Lorenzo García-Amaya
Affiliation:
University of Michigan, Ann Arbor, MI, USA
Micha Fischer
Affiliation:
University of Michigan, Ann Arbor, MI, USA
Jessica Czapla
Affiliation:
University of Michigan, Ann Arbor, MI, USA
Natalie Dakki
Affiliation:
University of Michigan, Ann Arbor, MI, USA
Amber Galvano
Affiliation:
University of Michigan, Ann Arbor, MI, USA
Sarah Khansa
Affiliation:
University of Michigan, Ann Arbor, MI, USA
Ellie G. Maly
Affiliation:
University of Michigan, Ann Arbor, MI, USA
Zoe Phillips
Affiliation:
University of Michigan, Ann Arbor, MI, USA
Vidhya Premkumar
Affiliation:
University of Michigan, Ann Arbor, MI, USA
Stepan Topouzian
Affiliation:
University of Michigan, Ann Arbor, MI, USA
Thomas Wiaduck
Affiliation:
University of Michigan, Ann Arbor, MI, USA
*
Corresponding author: Nicholas Henriksen; Email: nhenriks@umich.edu.
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Abstract

Sociodemographic information, such as a speaker’s regional origin, is intimately related to the judgments and social evaluations that listeners assign to that speaker. This association between linguistic form and social information can also lead to linguistic profiling, a harmful form of discrimination. The present study examines the geographic classifications and social attitudes attributed to ten phonetic variants used within regional varieties of Iberian (i.e., European) Spanish. We are specifically interested in understanding listeners’ geographical classifications and language attitudes held toward Andalusian Spanish, which is a less privileged regional variety spoken in Spain’s southern region, as compared to north-central Peninsular Spanish (NCPS). The results of an online survey show that 165 listeners were fairly consistent when geographically classifying Andalusian-sounding stimuli as originating from the south of Spain. Importantly, the respondents also attributed less favorable social meaning to the Andalusian-sounding stimuli in comparison to the NCPS-sounding stimuli. We link the findings to broader themes in sociolinguistics, such as language-based discrimination, linguistic insecurity, and the social motivations of language change.

Information

Type
Articles
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

Map 1. Map of Andalusia outlining its eight provinces. The three provinces in dark-gray shade are commonly categorized as “Western Andalusia,” the two provinces without shading are commonly categorized as “Central Andalusia,” and the three provinces in light-gray shade are commonly categorized as “Eastern Andalusia” (see Jaime-Jiménez, 2019).

Figure 1

Map 2. Map of Andalusia outlining the regional use of syllable-initial coronal fricatives (adapted from Alvar, 1996:250). Seceo is common among seseo speakers from urban Córdoba and Seville.

Figure 2

Table 1. List of the ten phonetic variants, with examples, included in the perception study

Figure 3

Map 3. Map of Andalusia outlining the regional use of tense versus lax productions of /as es os/ sequences (adapted from Alvar, 1996:245).

Figure 4

Map 4. Map of Spain indicating the three cities of origin for the respondent groups recruited for this study.

Figure 5

Figure 1. Image of the first two prompts that respondents saw upon playing an audio stimulus. English translation: Please click the button to hear the phrase “policía ambicioso.” You may listen to the recording a maximum of two times. What region of Spain do you associate this pronunciation with? North of Spain/Central Spain/South of Spain. More specifically, what do you think the geographic origin of this pronunciation is? You can indicate the autonomous community, province, or locality if you know it.

Figure 6

Figure 2. Image of the five slider prompts. Translation: Based on what you just heard, how would you describe this speaker? Someone who is… 1. dull/boring, pleasant/nice, funny; 2. uneducated, high-school educated, or university-educated; 3. slacking, ordinary, or hard-working; 4. from a town/rural area, from a small city, or from a large city; 5. shabby, average, or flashy/posh.

Figure 7

Table 2. Description of slider values at 0%, 50%, and 100% for the five social attributes

Figure 8

Figure 3. Model-predicted marginal means plot for the outcome GEOGRAPHIC CLASSIFICATION per the predictors PHONETIC VARIANT and RESPONDENT CITY. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 9

Figure 4. Mosaic plot of listeners’ perceptions of speaker origin by PHONETIC VARIANT and RESPONDENT CITY.

Figure 10

Figure 5. Mosaic plot of listeners’ perceptions of speaker origin by PHONETIC VARIANT and RESPONDENT CITY. The data shown here reflect a western/central/eastern subclassification of the “Andalusia-specific” responses from Figure 4. The listeners’ responses to the distinción and /s/-retention stimuli are excluded due to low token counts.

Figure 11

Table 3. Results of significance tests from the fifteen models fitted for research question 2. X = significant result; n.s. = not significant result; = main effect was not tested due the the presence of the interaction in the model

Figure 12

Figure 6. Model-predicted marginal means plot for the outcome PERCEIVED WORK ETHIC per the predictors RESPONDENT CITY and PHONETIC VARIANT for syllable-initial coronal fricatives. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 13

Figure 7. Model-predicted marginal means plot for the outcome PERCEIVED EDUCATION LEVEL per the predictor PHONETIC VARIANT for syllable-initial coronal fricatives. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 14

Figure 8. Model-predicted marginal means plot for the outcome PERCEIVED HABITUS per the predictors RESPONDENT CITY and PHONETIC VARIANT for syllable-initial coronal fricatives. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 15

Figure 9. Model-predicted marginal means plot for the outcome PERCEIVED URBANICITY per the predictors RESPONDENT CITY and PHONETIC VARIANT for syllable-initial coronal fricatives. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 16

Figure 10. Model-predicted marginal means plot for the outcome PERCEIVED HUMOR per the predictor PHONETIC VARIANT for syllable-initial coronal fricatives. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 17

Figure 11. Model-predicted marginal means plot for the outcome PERCEIVED WORK ETHIC per the predictors RESPONDENT CITY and PHONETIC VARIANT for word-medial coda-/s/. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 18

Figure 12. Model-predicted marginal means plot for the outcome PERCEIVED EDUCATION LEVEL per the predictor PHONETIC VARIANT for word-medial coda-/s/. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 19

Figure 13. Model-predicted marginal means plot for the outcome PERCEIVED HABITUS per the predictors RESPONDENT CITY and PHONETIC VARIANT for word-medial coda-/s/. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 20

Figure 14. Model-predicted marginal means plot for the outcome PERCEIVED URBANICITY per the predictors RESPONDENT CITY and PHONETIC VARIANT for word-medial coda-/s/. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 21

Figure 15. Model-predicted marginal means plot for the outcome PERCEIVED HUMOR per the predictor PHONETIC VARIANT for word-medial coda-/s/. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 22

Figure 16. Model-predicted marginal means plot for the outcome PERCEIVED WORK ETHIC per the predictor PHONETIC VARIANT for word-final coda-/s/. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 23

Figure 17. Model-predicted marginal means plot for the outcome PERCEIVED EDUCATION LEVEL per the predictor PHONETIC VARIANT for word-final coda-/s/. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 24

Figure 18. Model-predicted marginal means plot for the outcome PERCEIVED HABITUS per the predictors RESPONDENT CITY and PHONETIC VARIANT for word-final coda-/s/. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 25

Figure 19. Model-predicted marginal means plot for the outcome PERCEIVED URBANICITY per the predictor PHONETIC VARIANT for word-final coda-/s/. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 26

Figure 20. Model-predicted marginal means plot for the outcome PERCEIVED HUMOR per the predictor PHONETIC VARIANT for word-final coda-/s/. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 27

Table 4. Results of the significance tests from the five models for WORK ETHIC, EDUCATION LEVEL, HABITUS, URBANICITY, and HUMOR (Section 4.4)

Figure 28

Figure 21. Model-predicted marginal-means plot for the outcomes PERCEIVED WORK ETHIC, PERCEIVED EDUCATION LEVEL, PERCEIVED HABITUS, PERCEIVED URBANICITY, and PERCEIVED HUMOR per the predictors RESPONDENT CITY and GEOGRAPHIC CLASSIFICATION. Error bars mark the 95% confidence intervals around each predicted mean value.

Figure 29

Table B1. Mean segmental durations for word-medial coda-/s/ stimuli (all values in ms)

Figure 30

Table B2. Mean F1 and F2 values for word-final coda-/s/ stimuli (all values in Hz)

Figure 31

Figure C1. Frequency of geographical classification responses for each variant of syllable-initial coronal fricatives within each RESPONDENT CITY.

Figure 32

Figure C2. Frequency of geographical classification responses for each variant of word-medial coda-/s/ within each RESPONDENT CITY.

Figure 33

Figure C3. Frequency of geographical classification responses for each variant of word-final coda-/s/ within each RESPONDENT CITY.