Difference between revisions of "Heinrichsmeier2019"

From emcawiki
Jump to: navigation, search
Line 2: Line 2:
 
|BibType=ARTICLE
 
|BibType=ARTICLE
 
|Author(s)=Rachel Heinrichsmeier;
 
|Author(s)=Rachel Heinrichsmeier;
|Title=Ageism and Interactional (Mis)Alignment: Using Micro-Discourse Analysis in the Interpretation of Everyday Talk in a Hair-Salon
+
|Title=Ageism and Interactional ₍Mis₎Alignment: Using Micro-Discourse Analysis in the Interpretation of Everyday Talk in a Hair-Salon
 
|Tag(s)=EMCA; alignment; ageism; hair salon
 
|Tag(s)=EMCA; alignment; ageism; hair salon
 
|Key=Heinrichsmeier2019
 
|Key=Heinrichsmeier2019

Revision as of 13:27, 6 October 2020

Heinrichsmeier2019
BibType ARTICLE
Key Heinrichsmeier2019
Author(s) Rachel Heinrichsmeier
Title Ageism and Interactional ₍Mis₎Alignment: Using Micro-Discourse Analysis in the Interpretation of Everyday Talk in a Hair-Salon
Editor(s)
Tag(s) EMCA, alignment, ageism, hair salon
Publisher
Year 2019
Language
City
Month
Journal Linguistics Vanguard
Volume 5
Number s2
Pages e20180031
URL Link
DOI 10.1515/lingvan-2018-0031
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter Linguistics Vanguard

Download BibTex

Abstract


Notes

In the fifty years since Robert Butler coined the term, ageism remains one of the most widely-experienced forms of discrimination in Europe. Some forms of ageism seem overt and easy-to-identify; in many cases, though, it is invisible and deeply rooted in everyday life. This applies, too, to ageism-in-interaction, which, as I argue in this paper, can be very subtle, deeply embedded in a web of routines and expectations generated over a longer interactional history.

I illustrate this embeddedness of ageism-in-interaction by focussing, as a case-study, on an encounter in a hair-salon between an 83-year-old woman and her stylist, aspects of which we might initially be tempted to attribute to the stylist’s orientations to the client’s (older) age. However, as I show, closer scrutiny of the emergent interaction, combined with progressive widening of the analysis to encompass data outside this focal exchange, suggests more nuanced understandings of what is going on. As I also aim to show, the nose-to-data attention to the emergent interactions in this case-study, informed by conversation analysis and combined with wider ethnographic knowledge, is the tool-kit we need to reveal the less visible instances of ageism-in-interaction.