CoARA Boost CF1 - Re-Ass - Towards a Gen-AI Assisted Model for CoARA-Aligned Researcher Assessment
The Gen-AI Assisted Model was designed to support and scale the qualitative evaluation of narrative CVs. It uses the Gen AI Researcher Assessment Rubric aligned with the European Career Stage Framework (R1–R4), and recognises contributions that extend beyond formal career-stage classifications. Designed to complement peer judgement rather than replace it, the system offers multi-level information (researcher, team, and institutional) and yielded substantial agreement with human assessors (>80% overall).
Authors
- Adrià Guinart Mulero
- Marina García-Morante (ORCID: https://orcid.org/0000-0002-6492-2691)
- Montserrat Castelló
Institutions
- Universitat Ramon Llull (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-23
- DOI
- https://doi.org/10.5281/zenodo.18036534
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00