The Shape of Testimony: A Scalable Framework for Oral History Archive Comparison

1. 1Conduct a critical examination of existing oral history archives to identify distinct testimony styles
2. 2Develop a scalable framework for comparing archives, incorporating natural language processing and machine learning techniques
3. 3Apply the framework to a case study, such as the USC Shoah Foundation and Yale Fortunoff Video Archive, to analyze testimony styles and their implications
4. 4Evaluate the effectiveness of the framework in facilitating archive comparison and informing research
5. 5Refine the framework based on findings and apply it to other oral history archives to promote broader research and analysis

Researchers in humanities and social sciences, particularly those working with oral history archives, can benefit from this framework to inform their research and archive development

💡 A scalable framework can facilitate comparison of oral history archives, enabling researchers to analyze testimony styles and their impact on scholarly research

📚 Compare oral history archives with a scalable framework! 💡 Inform research and archive development with NLP and ML techniques #oralhistory #archives