The data and deviance: disintegrative shaming and exclusion in Queensland schools

Bleakley, Paul ORCID logoORCID: and Bleakley, Cindy (2019) The data and deviance: disintegrative shaming and exclusion in Queensland schools. Interchange, 50 (4) . pp. 537-548. ISSN 0826-4805 [Article] (doi:10.1007/s10780-019-09374-0)

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It is the purpose of this study to determine the extent to which the implementation of the Positive Behaviour for Learning (PBL) model and its focus on data-driven behaviour management has impacted on exclusion rates in Queensland public schools and, as such, the commitment of Queensland public schools to reintegration of students with behavioural issues. Using the open source data on student exclusion rates and the reasons for exclusion, it is possible to determine shifting patterns over the last 10 years. In doing so, it has been possible to identify how the approach to exclusion in Queensland public schools has changed in the period since the introduction of the OneSchool data aggregation software. An analysis of exclusion data shows that while long-term suspensions have decreased over the last 10 years, the rate of short-term suspension and exclusion has increased. There has been a particular increase in disciplinary absences related to conduct issues like refusal to participate in class, rather than more serious violations like physical violence or drug use. Using Braithwaite’s reintegrative shaming model as a framework to analyse this behavioural exclusion data indicates that an over-reliance on exclusion is steering Queensland schools away from the principles of restorative justice, and has a negative impact on student outcomes.

Item Type: Article
Research Areas: A. > School of Health and Education > Education
A. > School of Law > Criminology and Sociology
Item ID: 27886
Notes on copyright: This is a post-peer-review, pre-copyedit version of an article published in Interchange. The final authenticated version is available online at:
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Depositing User: Paul Bleakley
Date Deposited: 17 Oct 2019 16:07
Last Modified: 29 Nov 2022 18:43

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