La Trobe

'Tell us in your words...'

Download (162.58 kB)
journal contribution
posted on 2023-09-20, 00:23 authored by June Luchjenbroers
Current literature on the language of barristers and their questioning strategies makes clear that questioning procedures manipulate witness testimonies. Also known is that the examination phase encompasses more wh- questions that invite more contentful answers than cross examination; while cross-examination is more challenging in nature. However, this is a somewhat simplistic analysis of the factors at work in barrister questioning strategies. This paper reports on a study of barrister questioning strategies in conjunction with witness answer forms, in order to gain some measure of the extent to which witnesses are allowed to ‘tell their own stories in their own words’. Additional factors taken into account include presumed sympathies of respective witnesses - i.e., do questioning strategies differ according to assumed sympathy for the defense or prosecution. The resulting statistics reveal that witnesses provide very little of the crime narrative conveyed to the jury; and barrister questioning strategies is a function of the assumed sympathies of respective witnesses. The data are the court transcriptions of a Supreme Court murder trial, held over 6 days in Victoria (Australia) during 1986. The data encompass 33 witness testimonies

History

Related Materials

  1. 1.

Publication Date

1993-07-01

Journal

La Trobe Working Papers in Linguistics

Volume

6

Issue

6

Pagination

p. 97-136

Publisher

Linguistics Program, La Trobe University.

ISSN

1036-0808

Rights Statement

© The Author 1993. This article may be downloaded for personal use only. Any other use requires prior permission from the author.

Data source

arrow migration 2023-03-02 18:17. Ref: 25aacc. IDs:['http://hdl.handle.net/1959.9/506931', 'latrobe:33141', 'URN:ISSN:1036-0808']

Usage metrics

    Journal Articles

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC