Machine Learning and Human Expertise in the Slavic Digital Humanities
Andrew Janco
Haverford College
Humanities at Super-Human Scale
- Distant reading
- Distant Horizons
Able to study more than a set "canon" of works
Ability to analize more materials can could be studies by a single scholar in a lifetime.
🦜 Stochastic Parrots and Bias at Scale
Micro-DH
John Unsworth "Scholarly Primitives" (2000)
“basic functions common to scholarly activity across disciplines, over time, and independent of theoretical orientation.”
annotation and association
Text Markup and TEI
Annotation / Named Entity Recognition
🗑️garbage
not 🗑️garbage
Prozhito
Association / Named entity linking
- Start with "scholarly primitives," not scale of analysis or size of datasets
- Rather than appropriating innovations from computer science and artificial intelligence, this approach builds from humanities-based methods and practices.
- This view shifts our focus from the potential intelligence of machines towards their ability to complete useful tasks for human ends. Specifically, how they can augment scholars’ work by performing repetitive tasks at scale with superhuman speed and precision.
- By augmenting these activities, we are able to benefit from the scale and precision afforded by computational methods, as well as the valuable interplay between scholars and machines as humanities research practices are made explicit and reproducible.
Thank you!
deck
By Andrew Janco
