Integrating qualitative and quantitative analyses of stance
A case study of English that/ zero variation
Bibliographic Data
| ID | 7901970 |
|---|---|
| Authors | Timothy Gadanidis (0000-0003-0599-2961, University of Toronto), Angelika Ki (0000-0001-8064-3687, University of Toronto, corresponding author), Lex Konnelly (0000-0002-0200-3112, University of Toronto), Katharina Pabst (0000-0003-1952-9329, University of Toronto), Lisa Schlegl (0000-0003-2611-7349, University of Toronto), Pocholo Umbal (0000-0002-2423-0156, University of Toronto), Sali A Tagliamonte (0000-0002-1955-2396, University of Toronto) |
| Year | 2023 |
| Volume | 52 |
| Issue | 1 |
| Pages | 27-50 |
| Publication date | 2023-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Language in Society (JOURNAL) |
| Journal identifiers | ISSN: 0047-4045 • E-ISSN: 1469-8013 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0047404521000671 |
| OpenAlex | W3197503917 |
| Language | EN |
| Citations received | 3 |
| References cited | 50 |
Previous work has shown that stance—the way speakers position themselves with respect to what they are talking about and who they are talking to—provides powerful insights into why speakers choose certain linguistic variants, beyond correlations with macro-social categories such as gender, ethnicity, and social class. However, as stancetaking moves are highly context-dependent, they have rarely been explored quantitatively, making the observed variable patterns difficult to generalize. This article seeks to contribute to this methodological gap by proposing a formal guide to coding stance and demonstrating how it can be operationalized quantitatively. Drawing on a corpus of eight individuals, self-recorded in three situations with varying levels of social distance, we apply this method to variation between English complementizers that and zero (i.e. no overt complementizer), providing a replicable and theoretically grounded protocol that incorporates both quantitative and qualitative analyses in a variationist sociolinguistic study. (Stance, complementizers, that , English
Complementizer · Epistemology · Linguistics · Operationalization · Sociology · Variation (astronomy) · Zero (linguistics) · Language, Discourse, Communication Strategies · Linguistic Variation and Morphology · Multilingual Education and Policy · Psychology · Social Psychology
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The Language of Evaluation
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Conversation Analysis as Social Theory
Adverbial Marking of Stance in Speech and Writing
A question of commitment
Styles of stance in English
References in conversation between experts and novices.
The stance triangle
Fitting Linear Mixed-Effects Models Using lme4
Information structure in discourse
The sociolinguistic variant as a carrier of social meaning
Stylistic variation among mobile speakers
David Medalla in London
Interactional Stancetaking in Online Forums
Question intonation contours as dynamic epistemic operators
Adverbial stance types in English
English Corpus Linguistics
Complementation in Middle English and the Methodology of Historical Syntax
That or zero? A look at the choice of object clause connective in a corpus of American English 1
That‐ clauses in modern English∗
The Terms of Agreement
On the persistence of grammar in discourse formulas
Linguistic Variation
Copula variation in Asturian Spanish and the multidimensionality of stancetaking in interaction
Variation and the indexical field 1
Dude
Language has a heart
Politeness
Investment in a model of stancetaking
The substance of style
Ways of communicating emotional stance in online disagreements
The discourse conditions for the use of the complementizer that in conversational English
Epistemic intonation and epistemic gesture are mutually co-expressive
I thought it was very interesting. Conversational formats for taking a stance
Stance, style, and vocal mimicry
The encoding of epistemic operations in two Romance languages
Rethinking Context
| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |