Author identifier analysis: Name authority control in two institutional repositories
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 aim of this poster is to analyze name authority control in two institutional repositories to determine the extent to which faculty researchers are represented in researcher identifier databases. A purposive sample of 50 faculty authors from Florida Southern College (FSC) and Ryerson University (RU) were compared against five different authority databases: Library of Congress Name Authority File (LCNAF), Scopus, Open Researcher and Contributor ID (ORCID), Virtual International Authority File (VIAF), and International Standard Name Identifier (ISNI). We first analyzed the results locally, then compared them between the two institutions. The findings show that while LCNAF and Scopus results are comparable between the two institutions, the difference in the ORCID, VIAF, and ISNI are considerable. Additionally, the results show that the majority of authors at each institution are represented in two or three external databases. This has implications for enhancing local authority data by linking to external identifier authority data to augment institutional repository metadata.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.001 | 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