Summary of the Roundtable “Setting up a DH Curriculum or Certificate” at the Annual Meeting of the Renaissance Society of America (Toronto, March 19, 2019)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This summary is a short overview of a roundtable discussion that took place at the Renaissance Society of America on the topic of the structure and organization of a Digital Humanities curriculum. I invited two representatives of European and two of US curricula, which were split up respectively into one for Digital Art History and one for general Digital Humanities: Leif Isaksen (Professor of Digital Humanities, Exeter), Peter Bell (Junior professor for Digital Humanities, with a focus on Digital Art History, Erlangen-Nürnberg), Hannah Jacobs (Digital Humanities Specialist in the Wired! Lab for Digital Art & Visual Culture, Duke University), and Ashley Sanders Garcia (Vice Chair of the Digital Humanities Program, UCLA). Both of the European cases are recent implementations of new curricula, whereas the US-American had established courses. While established studies do exist in Europe, as for example at the University of London, they are still quite rare.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it