In this chapter, we first explain the method that we use in this book. In particular, we draw on Membership Categorization Analysis, which is a micro-discursive methodology that allows us to scrutinize how age-related categories are mobilized in talk. This approach puts the focus on interaction at the centerstage of our analyses, and it pinpoints how recruiters and job applicants “do” ageist stereotyping by linking categories and groups to specific attributes and activities. Secondly, we explain that while Membership Categorization Analysis is often used by researchers working in the conversation analytical tradition, we actually use it within the framework of multimodal discourse analysis. This enables us to also use elements from the context in our study, while we can nevertheless still engage in a detailed exploration of the turn-by-turn achievement of ageism in job interviews through a variety of semiotic resources. Finally, we explain in detail the dataset on which this study draws and provide a preview of the rest of the book.

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Method and Data

  • Dorien Van De Mieroop,
  • Federica Previtali,
  • Melina De Dijn

摘要

In this chapter, we first explain the method that we use in this book. In particular, we draw on Membership Categorization Analysis, which is a micro-discursive methodology that allows us to scrutinize how age-related categories are mobilized in talk. This approach puts the focus on interaction at the centerstage of our analyses, and it pinpoints how recruiters and job applicants “do” ageist stereotyping by linking categories and groups to specific attributes and activities. Secondly, we explain that while Membership Categorization Analysis is often used by researchers working in the conversation analytical tradition, we actually use it within the framework of multimodal discourse analysis. This enables us to also use elements from the context in our study, while we can nevertheless still engage in a detailed exploration of the turn-by-turn achievement of ageism in job interviews through a variety of semiotic resources. Finally, we explain in detail the dataset on which this study draws and provide a preview of the rest of the book.