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LING330 Interaction and Identity in Context

The linguistic analysis of interactional discourse, focusing on how identity is conveyed in social, academic, and workplace contexts. Develops practical tools for understanding how language functions in interactions.

Who am I? Who are you? Most of what we know about each other is constructed and conveyed through language. This course provides linguistic and theoretical tools for analysing spoken discourse. Students will be able to explore their own interests in the research literature on identity categories (such as genders and ethnicities; activities like gaming; workplaces like medical practices) through reading and written assignments.

Paper title Interaction and Identity in Context
Paper code LING330
Subject Linguistics
EFTS 0.15
Points 18 points
Teaching period Semester 2 (On campus)
Domestic Tuition Fees (NZD) $955.05
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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LING 111 or LING 112
LING 230
Schedule C
Arts and Music

Teaching staff

Dr Anne Feryok

Paper Structure

100% internal assessment.



Gee, J. P. (2014). How to do discourse analysis: A toolkit. (2nded.) Abingdon, Oxon: Routledge. ISBN 978-1-315-81966-2

Graduate Attributes Emphasised
Global perspective, Interdisciplinary perspective, Scholarship, Communication, Critical thinking, Cultural understanding.
View more information about Otago's graduate attributes.
Learning Outcomes

Students who successfully complete this paper will:

  • Recognise and explain what linguistic discourse analysis tools do and how they are used
  • Recognise and explain what different theoretical discourse tools do and how they are used
  • Recognise and explain transcription conventions
  • Analyze authentic examples of linguistic choices in interactional discourse
  • Synthesise linguistic and theoretical discourse analysis tools to interpret interactional discourse
  • Create a transcript using a specified set of conventions and select passages potentially relevant to an analysis

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Semester 2

Teaching method
This paper is taught On Campus
Learning management system


Stream Days Times Weeks
A1 Wednesday 14:00-15:50 28-34, 36-41


Stream Days Times Weeks
Attend one stream from
A1 Thursday 13:00-13:50 29-34, 36-40
A2 Thursday 15:00-15:50 29-34, 36-40