Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Exceptionalising intersectionality

Bibliographic Data

ID12898439
AuthorsAbigaël Candelas de la Ossa (0000-0002-8859-7352, Austin Independent School District, corresponding author)
Year2019
Volume13
Issue2
Pages224-250
Publication date2019-07-31
Open AccessNo
TypeARTICLE
VenueGender and Language (JOURNAL)
Journal identifiersISSN: 1747-6321 • E-ISSN: 1747-633X
PublisherEquinox Publishing (PUBLISHER • GB)
DOI10.1558/genl.35094
OpenAlexW2964518799
LanguageEN
Citations received2

Groups who experience multiple marginalisation are more likely to experience domestic abuse, but appear to be the least represented in materials designed to support survivors. This paper uses corpus methods and feminist discourse analysis to examine a guidance text produced by a British organisation that supports women survivors of domestic abuse. The analysis examines the discursive practices used to construct solidarity between the implied reader, implied author and broader imagined community. While many of the practices employed in these texts to construct solidarity are exemplary – such as centring survivors’ experiences and addressing survivors directly by using first- and second-person pronouns – the texts also construct multiply marginalised survivors as distal by using third-person pronouns in discourses which represent multiple marginalisation as ‘exceptional’. The paper concludes by suggesting ways to improve guidance for survivors of domestic abuse

Construct (python library · Discourse analysis · Discursive psychology · Intersectionality · Linguistics · Political science · Sociology · Solidarity · Computer Science · Gender Studies · Gender, Feminism, and Media · Intimate Partner and Family Violence · Law · Military, Security, and Education Studies · Psychology · Social Psychology

  • Language, gender and sexuality in 2019

    Jeff Calder•Gender and Language•2020

  • Feminist refusal meets enmity

    R Borba, Kira Hall et al.•Gender and Language•2020

Citations per year0.33
Citation span2020 - 2020 (1)
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae