Regenerated Identities: A Collaborative Web-Based Content Management System for Digital Humanities
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
Regenerated Identities (RegID) is a web-based content management system for digital humanities (DH) scholars to curate, meta-tag, analyze, visualize, cross-reference, and publish large volumes of historical datasets.This article describes the development methodology of RegID, highlighting the underlying theoretical concepts driven by information studies and the results of participatory research that employs user-centered design and design thinking strategies.Focusing on African studies and slavery research as a case study, the development of RegID demonstrates that a thematic approach and understanding of users' needs and behavior of information interactions is important in developing such digital tools.Scholars' engagement in the design process helps address their unique challenges and workflows, which is unachievable through broad-spectrum content management systems such as WordPress, Jumla, or Wix.The user-centered design facilitated a more intuitive and efficient interface that provides a digital space for collaborative research.RegID is hosting over 20 projects addressing the technological challenges faced by scholars in the field.
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 | 0.004 | 0.001 |
| 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 it