rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: Bakhtinian dialogical analysis of a speech by Prime Minister Boris Johnson
  name:
    name part: MacDonagh, Joe
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: enk
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: This dataset is designed for teaching dialogical analysis of documents such as, in this case, speeches. These data were analysed by Dr. Joe MacDonagh from Technological University Dublin's School of Business & Humanities and are drawn from a publicly available transcript of Prime Minister Boris Johnson's first speech as Prime Minister, outside 10 Downing St., in 2019. The example focuses on how politicians' speeches can be qualitatively examined as dialogue in which they suggest certain perspectives and answer potential criticisms before they are made. The analysis shows the rhetorical devices speechmakers use and the way in which we can identify the themes they seek to put across to the audience for the speech. The analysis is accompanied by questions for use with students and another dataset from PM Boris Johnson, which can be analysed by students in lectures or tutorials. The dataset files are accompanied by a Teaching Guide and a Student Guide.
  target audience: specialized
  note: Joe MacDonagh.
  note: Includes bibliographical references and index.
  subject:
    topic: Dialogue analysis
  subject:
    topic: Discourse analysis
  subject:
    topic: Dialogism (Literary analysis)
  subject:
    topic: Analyse du dialogue
  subject:
    topic: Dialogisme
  subject:
    topic: Dialogism (Literary analysis)
  subject:
    topic: Dialogue analysis
  subject:
    topic: Discourse analysis
  classification: PN95.455 .M33 2021
  classification: 401.41
  identifier: 9781529762839
  identifier: 1529762839
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 210125
    record change date: 20240923170331.9
    record identifier: in00005494661
    language of cataloging:
      language term: eng