Fine-tuned language models can generalize accident report classification across different industries without retraining, enabling scalable occupational safety analysis across sectors.
This paper develops an automated system to classify key information in occupational accident reports (work situations, unsafe conditions, events, consequences) and tests whether models trained on construction-sector narratives can work across different industries like metallurgy and chemistry.