Linking Archives, Linked Open Data, and the Development of the World-Wide Directory of Repositories Holding Archives of Literature and Art
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
Literary and artistic archives are frequently dispersed across heritage institutions, posing a challenge to researchers and archivists whose work is all the more complex given the challenges of identifying the location of archival collections. Knowing where an archives is located is fundamental to research, and for archivists it is useful to know what repositories have related collections in order to redirect potential acquisitions or to develop cross-institutional collaborations. The International Council on Archives (ICA) Section on Archives of Literature and Art (SLA) developed the World-Wide Directory of Repositories holding Archives of Literature and Art as a means for connecting archivists and linking researchers with collections. In this article, we provide a history of the directory, detail the process of incorporating Wikidata maps into the directory, and consider questions around the directory’s purpose, development, maintenance, and future directions.
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 | 0.001 | 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 | 0.000 |
| Open science | 0.003 | 0.009 |
| 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