Electronic Serials Usage Patterns as Observed at a Medium-Size University: Searches and Full-Text Downloads.
Bibliographic record
Abstract
As the number of electronic serials available to libraries continues to increase while library budgets remain either stagnant or on the decrease, it becomes necessary to evaluate the use of a library’s electronic collection. In 2006, usage statistics were evaluated at Laurentian University, Canada, to provide direction to collection development and identify high-cost low-use electronic serials. Searches and full-text downloads were studied. A sharp increase in use was observed in and around 2004 which can be explained by the introduction, in Ontario, of the ‘double cohort’, by the rapid increase in the number of electronic resources subscribed to at Laurentian, and by the adoption of OpenURL technology. Heavily used electronic serials are identified. Turnaways, connections by IP address and Bradford’s 20:80 rule are also examined. The application of a cost-per-download ratio provided a practical method for identifying underused products.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.011 | 0.021 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".