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‘When intuitions (don't) fail’: combining syntax and sociolinguistics in the analysis of Scots

Published online by Cambridge University Press:  13 September 2024

E JAMIESON
Affiliation:
Department of Language & Linguistic Science University of York Vanbrugh College York YO10 5DD UK e.jamieson@york.ac.uk
JENNIFER SMITH
Affiliation:
Department of English Language & Linguistics University of Glasgow 13 University Gardens Glasgow G12 8QQ UK jennifer.smith@glasgow.ac.uk
DAVID ADGER
Affiliation:
Department of Linguistics Queen Mary University of London Arts One Mile End Rd London E1 4NS UK d.j.adger@qmul.ac.uk
CAROLINE HEYCOCK
Affiliation:
Department of Linguistics and English Language University of Edinburgh Dugald Stewart Building 3 Charles Street Edinburgh EH8 9AD UK caroline.heycock@ed.ac.uk
GARY THOMS
Affiliation:
Department of Linguistics New York University 10 Washington Place New York 10003 USA gst1@nyu.edu
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Abstract

A perennial problem for sociolinguists interested in morphosyntactic variation is that such forms are often low frequency, making quantitative analysis difficult or impossible. However, sociolinguists have been generally reluctant to adopt methodologies from syntax, such as acceptability data gleaned from speaker intuition, due to the belief that these judgments are not necessarily reliable. In this article we present data from the Scots Syntax Atlas, which employs sociolinguistic methodologies in spoken data alongside the results of acceptability judgments. We target three morphosyntactic variables and compare and contrast these across the two data types in order to assess the reliability of the judgment data at community level. The results show that reliability is variable-dependent. For some variables, there is clear correlation; with others, it appears that, as Labov (1996) phrased it, ‘intuitions fail’. We discuss how factors such as salience, social stigma and local identity combine to govern the reliability of judgment data.

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 (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), 2024. Published by Cambridge University Press
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Figure 1. All locations in the SCOSYA data

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Figure 2. SCOSYA five-point Likert scale

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Table 1. Proportion of need constructions in the SCOSYA corpus

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Figure 3. Locations with attestations of need + PAST in SCOSYA

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Figure 4. His van needs washed, accepted by at least two participants

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Table 2. Proportion of periphrastic do/div in the SCOSYA corpus

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Figure 5. Locations with attestations of div in SCOSYA

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Figure 6. I div like a scone, accepted by at least two participants

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Table 3. Proportion of negative concord by type in the SCOSYA corpus

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Figure 7. Locations with attestations of NC with nothing in SCOSYA

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Figure 8. I cannae see nothing, accepted by at least two participants

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Figure 9. I didnae see it nowhere, accepted by at least two participants

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Table 4. Intuition ‘success’ and ‘failure’ in the SCOSYA judgment tasks

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