Access to serials: integrating SFX with Evergreen open source ILS
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
Purpose The purpose of this paper is to address the integration of SFX link resolver with Evergreen open source integrated library system (ILS). It also aims to describe a method to incorporate print serials into SFX. Design/methodology/approach A print serials project has been proposed and implemented to integrate print and electronic serials at University of Windsor Leddy Library. It contains two sub‐projects: to incorporate all forms of serials in SFX; and to integrate SFX with the Evergreen library catalogue for serials access. Various issues associated with print serials and open source software were also investigated. Findings A unified view of print and electronic serials is desired and well received by librarians and patrons. There is no technical difficulty uploading print serials data into SFX, but the process can be time‐consuming and challenging. Open source software is flexible in terms of customization and interoperability with other library systems though it presents challenges to system staff. Originality/value This paper has the following contributions: it is the first work on the integration of Evergreen open source ILS and the proprietary link resolver, SFX, in the literature. The issues encountered and their solutions presented in this paper may be applicable to the integration of open source ILSs, such as Evergreen and Koha, with link resolvers or other library systems; and the method described in this paper to facilitate users in accessing all forms of serials may be useful for other institutions having SFX or other link resolver systems.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.018 |
| Open science | 0.004 | 0.004 |
| 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