Difference between revisions of "Wilkinson2011"
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{{BibEntry | {{BibEntry | ||
|BibType=ARTICLE | |BibType=ARTICLE | ||
| − | |Author(s)=Sue Wilkinson; | + | |Author(s)=Sue Wilkinson; |
| − | |Title= | + | |Title=Constructing ethnicity statistics in talk-in-interaction: Producing the 'White European' |
| − | Constructing ethnicity statistics in talk-in-interaction: Producing the 'White European' | ||
| − | |||
|Tag(s)=EMCA; categorization; census; conversation analysis; ethnic monitoring; ethnicity; European; helpline; institutional talk; interaction; official statistics; question design; recipient design; social construction; talk-in-interaction; whiteness; | |Tag(s)=EMCA; categorization; census; conversation analysis; ethnic monitoring; ethnicity; European; helpline; institutional talk; interaction; official statistics; question design; recipient design; social construction; talk-in-interaction; whiteness; | ||
|Key=Wilkinson2011 | |Key=Wilkinson2011 | ||
|Year=2011 | |Year=2011 | ||
| + | |Language=English | ||
|Journal=Discourse & Society | |Journal=Discourse & Society | ||
|Volume=22 | |Volume=22 | ||
| Line 13: | Line 12: | ||
|Pages=343–361 | |Pages=343–361 | ||
|DOI=10.1177/0957926510395446 | |DOI=10.1177/0957926510395446 | ||
| − | |Abstract=This article ‘looks behind’ official statistics, analysing the social context of their production. It uses conversation analysis to examine how an organization’s ethnic monitoring statistics are constructed in and through interactions between callers and volunteers on its telephone helpline. In particular, it examines how the process of self-categorization is shaped by the response categories on the organization’s monitoring form and by the format in which the ethnic monitoring question is asked. These analyses contribute to developing understandings of the social construction of ‘race’/ethnicity and of organizationally generated statistics. | + | |Abstract=This article ‘looks behind’ official statistics, analysing the social context of their production. It uses conversation analysis to examine how an organization’s ethnic monitoring statistics are constructed in and through interactions between callers and volunteers on its telephone helpline. In particular, it examines how the process of self-categorization is shaped by the response categories on the organization’s monitoring form and by the format in which the ethnic monitoring question is asked. These analyses contribute to developing understandings of the social construction of ‘race’/ethnicity and of organizationally generated statistics. |
}} | }} | ||
Revision as of 04:44, 13 July 2018
| Wilkinson2011 | |
|---|---|
| BibType | ARTICLE |
| Key | Wilkinson2011 |
| Author(s) | Sue Wilkinson |
| Title | Constructing ethnicity statistics in talk-in-interaction: Producing the 'White European' |
| Editor(s) | |
| Tag(s) | EMCA, categorization, census, conversation analysis, ethnic monitoring, ethnicity, European, helpline, institutional talk, interaction, official statistics, question design, recipient design, social construction, talk-in-interaction, whiteness |
| Publisher | |
| Year | 2011 |
| Language | English |
| City | |
| Month | |
| Journal | Discourse & Society |
| Volume | 22 |
| Number | 3 |
| Pages | 343–361 |
| URL | |
| DOI | 10.1177/0957926510395446 |
| ISBN | |
| Organization | |
| Institution | |
| School | |
| Type | |
| Edition | |
| Series | |
| Howpublished | |
| Book title | |
| Chapter | |
Abstract
This article ‘looks behind’ official statistics, analysing the social context of their production. It uses conversation analysis to examine how an organization’s ethnic monitoring statistics are constructed in and through interactions between callers and volunteers on its telephone helpline. In particular, it examines how the process of self-categorization is shaped by the response categories on the organization’s monitoring form and by the format in which the ethnic monitoring question is asked. These analyses contribute to developing understandings of the social construction of ‘race’/ethnicity and of organizationally generated statistics.
Notes
