JOURNAL ARTICLE
The Logic and Value of the Presumption of Doli Incapax (Failing That, an Incapacity Defence).
Published In: Oxford Journal of Legal Studies, 2023, v. 43, n. 3. P. 546 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Hamer, David; Crofts, Thomas 3 of 3
Abstract
This article focuses on the legal principle of criminal capacity in children, specifically the presumption of doli incapax, which holds that children under a certain age lack the capacity to understand the serious wrongness of their actions and thus cannot be convicted unless proven otherwise beyond reasonable doubt. It outlines how common law traditionally sets the minimum age of criminal responsibility (MACR) at 10 in jurisdictions like Australia, England & Wales, and Northern Ireland, with Australia retaining the rebuttable presumption of incapacity up to age 14, while England & Wales and Northern Ireland have abolished it, assigning full capacity at age 10. Drawing on developmental neuroscience and international recommendations, the article argues for raising the MACR but emphasizes the importance of retaining and extending the rebuttable presumption to provide individualized justice, recognizing that children mature at different rates and that wrongful convictions can severely harm their life prospects. It further discusses the types of evidence relevant to proving a child's capacity and suggests that if reintroduction of the presumption is politically unfeasible, a reverse-burden incapacity defence could serve as an alternative to better protect children in the justice system.
Additional Information
- Source:Oxford Journal of Legal Studies. 2023/09, Vol. 43, Issue 3, p546
- Document Type:Article
- Subject Area:Law
- Publication Date:2023
- ISSN:0143-6503
- DOI:10.1093/ojls/gqad010
- Accession Number:172780128
- Copyright Statement:Copyright of Oxford Journal of Legal Studies is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.