arXiv (All)
open access
Using Fine-Tuned LLMs to Identify Indicators of Vulnerability in UK Police Incident Logs
Purpose: Understanding how much of routine policing involves vulnerable people could inform resourcing, training, and multi-agency response, yet administrative data provide limited insight. We explore whether an LLM-based classification pipeline, developed on open-source US police data, can be adapt
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Monitoring Support and Data Management Services for Continuous Air Quality Monitoring Sites — London Borough of Merton — Imperial College Projects Limited#1022169
- A Systematic Survey of Online Data Mining Technology Intended for Law Enforcement#335716
- Crime Survey for England and Wales, 2023- 2024: Teaching Dataset#222105
- Crime Survey for England and Wales, 2017-2018: Teaching Dataset#421900
- The Matrix in Context: Taking Stock of Police Gang Databases in London and Beyond#964597
Record · ID 1144851
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive