Anglia Ruskin Research Online (ARRO)
Browse

The child protection paradox model: child sex trafficking in England and Wales

Download (8.4 MB)
thesis
posted on 2023-08-30, 20:28 authored by Paul J. Nelson
There has been significant progress implementing laws concerning Child Sex Trafficking (CST) in England and Wales. Nevertheless, it is still difficult to guarantee safe outcomes for children and young people (CYP), notwithstanding the abundant and positive work of Social Workers. The Home Office (2022) National Referral Mechanism (NRM) statistics indicate that CST is perhaps the fastest growing form of modern slavery in the UK. The number of CST victims has risen every year and between 2013 and 2021 there has been a rise of over 1206%. By drawing on findings from a qualitative study into Social Workers understanding of CST, this research has identified gaps that restrict Social Workers from recognising, responding, and reporting CST accurately. Social Workers as first responders are legally bound to safeguard children and young people (CYP) and then refer them into the NRM process which offers additional support to potential victims of CST. However, research findings have demonstrated that nonexistence of standalone CST and NRM training has impacted upon Social Workers ability to apply provisions and correct instruments such as the NRM when required to do so by law. As a result of the PhD findings, the Child Protection Paradox Model has been created which rationalises the application of the laws and how child protection (CP) works in accordance with legislation and provisions, highlighting the need to close these gaps.

History

Institution

Anglia Ruskin University

File version

  • Accepted version

Language

  • eng

Thesis name

  • PhD

Thesis type

  • Doctoral

Legacy posted date

2023-02-21

Legacy creation date

2023-02-21

Legacy Faculty/School/Department

Theses from Anglia Ruskin University/Faculty of Arts, Humanities & Social Sciences

Note

Accessibility note: If you require a more accessible version of this thesis, please contact us at arro@aru.ac.uk

Usage metrics

    ARU Theses

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC