---
title: "Jacksonville — research institutions and their papers in our library"
description: "Jacksonville (United States): 1 institutions with papers on Elamur Research — 1 university — and 0 citations of their works."
canonical: "https://research.elamur.ai/free/en/agglomerations/jacksonville/"
---
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[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / Jacksonville

# Jacksonville

Agglomeration [United States](https://md.research.elamur.ai/free/en/countries/united-states/) · metro population 1,136,540 (functional urban area, GHSL 2015)

**1** institution with a page**2** works in our library**0** citations of their works

## Institutions (1)

1 university.

### 🎓 Universities (1)

1. **[University of North Florida](https://md.research.elamur.ai/free/en/universities/university-of-north-florida/)**University · Jacksonville, [United States](https://md.research.elamur.ai/free/en/countries/united-states/)*2 works*

## Works in our library (2)

Works of its institutions, the most cited first.

1. **[A Multi-View Framework for Cross-Domain Nutrition Misinformation Detection in Social Media](https://md.research.elamur.ai/free/en/papers/shah-2026-multi-view-framework-cross-domain/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Vishwaa Shah, Indika Kahanda, Andrea Arikawa, et al.*2026*
2. **[When LLMs Disagree with Human Experts: Understanding LLM Annotation Failures in Nutrition Misinformation through Hierarchical Error Analysis using Seed Oil Narratives](https://md.research.elamur.ai/free/en/papers/shah-2026-when-llms-disagree-human-experts/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Vishwaa Shah, Indika Kahanda, Andrea Arikawa*2026*

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/agglomerations/jacksonville/year/2026/)

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

Agglomerations: the GHSL Urban Centre Database 2025; populations: the GHSL functional urban areas 2015 (urban centre and commuting zone), else the urban centre, as each page says (European Commission, Joint Research Centre, CC BY 4.0). An institution belongs to the urban centre its coordinates (ROR, OpenAlex) fall in, or one within 5 km. Land: Natural Earth.

- [← back to](https://md.research.elamur.ai/free/en/countries/united-states/) — United States

Updated 1 November 2026