The Outcome of the ArtFrame Project: A Domain-Specific BIBFRAME Exploration
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
The ArtFrame Project, a part of the Linked Data for Production (LD4P) collaboration, was a domain-specific, linked-open-data (LOD) initiative that explored the metadata practices of art libraries and museums. The project, headed by Columbia University Libraries and including major art institutions and the Cataloging Advisory Committee (CAC) of the Art Libraries Society of North America (ARLIS/NA), focused on developing an extension to the Bibliographic Framework Initiative (BIBFRAME) tailored to the needs of art catalogers. This article describes the history of the project and its collaboration with the LD4P Rare Materials Extension Group to produce a shared ontology, the Art & Rare Materials BIBFRAME Ontology Extension (ARM).[This article is an expansion of a presentation at the ARLIS/NA conference held in New York, New York, in February 2018.]
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.011 |
| Open science | 0.002 | 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