foxnic.github.io/papers.html at master · foxnic/foxnic.github.io · GitHub

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<h1>Papers</h1>

  As part of my journal-format PhD thesis, I have conducted <b>four studies</b> examining harm and vulnerabilities associated with missing children in England. The first of these has been published in Policing and Society, and the second has been published in Evidence Base.
  <br><br>

  My research takes a mixed-methods approach, integrating natural language processing (NLP) and machine learning techniques to explore how these tools can support both academic inquiry and practical safeguarding responses.
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  <table>
    <tr>
      <th>Year<br></th>
      <th>Journal Article<br></th>
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      <td>
        2026<br>
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      <td>
        Nicola Fox (2026) <a href="https://doi.org/10.1080/30679125.2025.2612199">SATISFY EASY LADDERS: Accessible machine learning to facilitate analysis of larger sensitive text data samples in criminology</a>, Evidence Base, DOI: 10.1080/30679125.2025.2612199 <br>
      </td>
    </tr>
    <tr>
      <td>
        2024<br>
      </td>
      <td>
        Nicola Fox, Caroline Miles, Réka Solymosi, Eon Kim & Riza Batista-Navarro (2024) <a href="https://doi.org/10.1080/10439463.2024.2333561">Too risky yet not risky enough: the intersecting characteristics, vulnerabilities, harm indicators and guardianship issues associated with seriously harmed missing children</a>, Policing and Society, DOI: 10.1080/10439463.2024.2333561<br>
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    </tr>
  </table>

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