Automating Self-Affirmation Essay Coding: Fine-Tuned BERT Performance Comparable to Human Coders and Comparison with GPT-4
The results suggest that a fine-tuned transformer model can reliably code self-affirmation essays, thereby reducing the coding burden for future researchers and educators.
Cong Ye, Trisha H. Borman, Geoffrey D. Borman
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