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oral-history

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DINOH Evaluation: synthetic examples and evaluation methods for oral-history assistance. Placeholder model backend; no model-performance results. OHPIPE is developed separately.

  • Updated Sep 13, 2026
  • Python

Python pipeline that harvests qualitative research data from Harvard Dataverse & Columbia Oral History, catalogs QDA project files (.qdpx, NVivo, MAXQDA, ATLAS.ti) in SQLite, and classifies every project by ISIC Rev. 5 division using a stdlib TF-IDF classifier. Seeding QDArchive (SQ26) : FAU Erlangen-Nürnberg.

  • Updated Jul 12, 2026
  • Python

Local-only, fail-closed privacy gateway in front of DigQDA: Presidio-backed recognizers, mandatory signed human review, typed document-local surrogates and a second verification scan before any analysis runs. No cloud, no telemetry, no auto-approve.

  • Updated Aug 8, 2026
  • Python

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