Digital humanities, libraries, and crowdsourcing: Foundations of digital textual technologies
Bibliographic record
Abstract
ABSTRACT The Greek Key is a prototype Virtual Research Environment (VRE) for the analysis of patterns in ancient texts and manuscripts. A Powerpoint presentation demonstrates how the VRE functions through a comparative case study of the organization of information in Plato and Aristotle. The interdisciplinary method combines historical, philological, and philosophical techniques with approaches from the digital humanities. The Greek Key is a collaborative, scalable, multidisciplinary project that has the potential to engage librarians in participatory strategies such as crowdsourcing (or “Citizen Science”). The Greek Key tools for visualizing textual data have the potential to: reveal previously undetected patterns in books and collections; make connections among different works; help users bring new information to bear on interpretation; demonstrate the significance of findings; and generate fresh insights about works of literature that have had a central and enduring influence on both our scholarly traditions and the history of libraries and librarianship. The VRE will make it possible for academic researchers and librarians to pursue perennial questions in innovative ways, and respond to questions that do not lend themselves to more traditional methods.
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.
How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.010 |
| Open science | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".