Detection avoidance and mis/unclassified, unsolved homicides in Australia
Journal of Criminal Psychology
ISSN: 2009-3829
Article publication date: 18 December 2019
Issue publication date: 5 May 2020
Abstract
Purpose
The purpose of this paper is to begin to explore whether and how the use of detection avoidance (DA) by offenders leads to a so called “dark figure” of unsolved homicides that have been mis/unclassified.
Design/methodology/approach
Australian Coronial data and inquest findings are used to examine how DA impacts on determining homicide, and cases remaining unsolved.
Findings
Results show DA behaviours perpetrated by offenders may be catalysed by other challenges, and may lead to homicides being mis/unclassified and unsolved. Findings indicate there is a small dark figure of mis/unclassified homicides which eventually become known and investigated as homicides in Australia. The number of unsolved homicides may be greater than official data reveals, due to some cases remaining mis/unclassified.
Research limitations/implications
Results are likely to underestimate the prevalence of mis/unclassified homicides due to the invisibility of cases and the difficulty establishing rules to include suspected but unproven homicides. The variable nature and impact of DA behaviours also limits results, along with jurisdictional differences in Coronial data.
Practical implications
This discussion explains DA behaviours impact on determining and investigating homicide and the necessity of future research.
Originality/value
Mis/unclassified homicides as unsolved homicides have not been discussed previously. This discussion is the first to conceptualise mis/unclassified homicides as a dark figure of unsolved cases, and the first to attempt to gauge the problem.
Keywords
Citation
Ferguson, C. and McKinley, A. (2020), "Detection avoidance and mis/unclassified, unsolved homicides in Australia", Journal of Criminal Psychology, Vol. 10 No. 2, pp. 113-122. https://doi.org/10.1108/JCP-09-2019-0030
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited