Five-Month Print and Electronic Patron-Driven Acquisitions Trial at a Large University Shows Circulation Advantages
Bibliographic record
Abstract
A Review of: Tynan, M. & McCarney, E. (2014). “Click here to order this book”: A case study of print and electronic patron-driven acquisition in University College Dublin. New Review of Academic Librarianship, 20(2), 233-250. http://dx.doi.org/10.1080/13614533.2014.906352 Abstract Objective – To evaluate the effectiveness of the first patron-driven acquisitions program in the Republic of Ireland and determine the effects of this acquisitions strategy on circulation, budget, and collection development. Design – Case study. Setting – A large university on two campuses in the Republic of Ireland with a total of over 25,000 students. Subjects – Patron-driven acquisitions including 1,128 electronic monographs and 1,044 print monographs. Methods – The authors evaluated titles purchased during a five-month patron-driven acquisitions trial conducted in 2013. Patron-selected titles were compared to traditionally acquired (faculty and librarian-selected) titles acquired during the same time period based on subject area and circulation data. Results from the trial were also compared to a literature review of patron-driven acquisitions trials conducted at other institutions. Information on selectors was examined for patron-driven print acquisitions. Main Results – The most frequently acquired subject areas included business, politics, English, drama and film, medicine, psychology, history, and law. These frequently acquired subject areas were consistent across print and electronic patron-driven acquisitions, traditionally acquired titles at the institution, and data from the patron-driven acquisitions trials of other institutions. Patron-selected titles in art history and architecture subjects showed a significant print preference over electronic. Patron-selected electronic titles were used 8.45 times compared to 3.27 uses for traditionally selected electronic titles. Patron-selected print titles circulated 1.32 times compared to 1.04 circulations for faculty-selected titles and 0.63 circulations for librarian-selected titles. For patron-driven print acquisitions, 63% of selectors were students and 37% were faculty and staff. Conclusion – The trial was considered successful in circulation and subject area diversity. Subject breakdown for patron-selected titles was consistent with expectations and mirrored traditional acquisitions strategies and expected demand. Patron-selected titles showed a circulation advantage over traditionally selected titles, though this advantage was more significant for electronic titles. The library intends to continue with patron-driven acquisitions. Considerations for future trials, including higher quality and more selective discovery records for print titles, more informative marketing, and better timing, could improve results.
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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 | 0.018 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".