Mapping MARC 21 Linking Entry Fields to FRBR and Tillett’s Taxonomy of Bibliographic Relationships
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
Bibliographic relationships have taken on even greater importance in the context of ongoing efforts to integrate concepts from the Functional Requirements for Bibliographic Records (FRBR) into cataloging codes and database structures. In MARC 21, the linking entry fields are a major mechanism for expressing relationships between bibliographic records. Taxonomies of bibliographic relationships have been proposed by Tillett, with an extension by Smiraglia, and in FRBR itself. The present exercise is to provide a detailed bidirectional mapping of the MARC 21 linking fields to these two schemes. The correspondence of the Tillett taxonomic divisions to the MARC categorization of the linking fields as chronological, horizontal, or vertical is examined as well. Application of the findings to MARC format development and system functionality is discussed.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.006 |
| 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