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2025-05-13 - Getting Away ith Murder 2025.pdf

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Figshare2025-05-13 更新2026-04-08 收录
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<b>Title:</b> <i>Getting Away With Murder 2025</i><br><b>DOI:</b> 10.6084/m9.figshare.29045015<br><b>Author:</b> Mr. Martin Newbold<br><b>Date Written:</b> 13th May 2025<br><b>Contact:</b> martinnewbold@gmail.com<b>Description:</b><br>This paper presents a critical legal and ethical analysis of the use of chemical restraint in the UK’s child care system, particularly focusing on the widespread and unregulated administration of psychotropic medication to children in state care. Drawing upon domestic and international legal frameworks—including the Children Act 1989, the Human Rights Act 1998, and the UN Convention on the Rights of the Child—the paper argues that the use of medication as a behavioural control mechanism, rather than for legitimate therapeutic reasons, may constitute a violation of children’s fundamental rights.Building on the legacy of the 2008 <i>Getting Away With Murder</i> report by Scope UK, the paper draws parallels between systemic neglect of disabled adults and the treatment of children in residential and secure settings. It compiles evidence from official reports, parliamentary inquiries, academic research, and serious case reviews to expose institutional failures, policy inertia, and a culture of clinical convenience over compassion.The manuscript explores how poor data governance, lack of consent protocols, and financial incentives linked to Looked After Children (LAC) payments may contribute to the overmedicalisation of vulnerable children. It challenges the assumption that such practices are isolated, arguing instead that they are embedded within a risk-averse, underfunded, and opaque care system. The work calls for urgent reform in oversight, accountability, and the application of trauma-informed care approaches to protect the rights and well-being of children under state responsibility.Sections of this manuscript, including structural formatting and terminology harmonization, were supported by OpenAI's ChatGPT model for scientific writing guidance. All conceptual content, original ideas, and technical formulations remain the author's.
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Newbold, Martin
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2025-05-13
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