Study Fails to Link ILL Usage Patterns to Liaison Activities
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
A Review of:
 Leykam, Andrew. “Exploring Interlibrary Loan Usage Patterns and Liaison Activities: The Experience at a U.S. University.” Interlending & Document Supply 36.4 (2008): 218-24.
 
 Objective - To investigate Interlibrary Loan (ILL) usage patterns, and connect them to liaison activities beyond collection development.
 
 Design – Pattern analysis of ILL requests.
 
 Setting – Library of The College of Staten Island, a mid-size, public university with predominantly undergraduate enrolment.
 
 Subjects – 4,875 identifiable requests over a three-year period.
 
 Methods – A data set of requests for ILLs of monographs over a period of three years was acquired from OCLC resource sharing statistics. This data was manually reviewed to remove duplicate records of the same request, but not multiple requests for the same item. The data included requestor status, department, publication date and subject classification of requested items.
 
 Main Results – Differences in use across user statuses and departments were identified.
 
 Conclusion – Usage Patterns can accurately illustrate trends in the borrowing behaviour of patrons, and be used to inform liaison librarians about user needs.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.429 |
| 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