Collection Usage Pre- and Post-Summon Implementation at the University of Manitoba Libraries
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
Objectives – This study examines the use of print and electronic collections both before and after implementation of Summon at the University of Manitoba Libraries. Summon is a web-scale discovery service which allows discovery of all of the materials the library owns or has access to from a simple search box on the library’s web page. Methods – COUNTER statistics were used to determine database, e-journal, and e-book statistics, including database search statistics (DR1) from the COUNTER Database Report 1, full-text article downloads from the COUNTER Journal Report 1 (JR1), and successful section search requests from the COUNTER Book Report 2 (BR2) for electronic resources. Sirsi, the University of Manitoba’s integrated library system, provided statistics on checkouts for the libraries’ circulating print monograph and serial collections. The percentage change from the pre-Summon implementation period to the post-Summon implementation period was calculated and these numbers were used to determine whether usage had increased or decreased for both print and electronic collections. Results – As expected, searches in citation databases decreased because searches were no longer being carried out in the native database as the metadata from the database is included in Summon. E-journal usage increased dramatically and e-book usage also increased for four of six providers examined. Print usage decreased, but the results were inconclusive. Conclusions – Summon implementation had a favourable impact on collection usage.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.327 |
| Open science | 0.000 | 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