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Record W1608488125 · doi:10.18438/b87p5q

Assessment of Undergraduate-Driven Acquisitions at a Small College Library Shows Both Costs and Benefits

2015· article· en· W1608488125 on OpenAlexvenueno aff
Laura Costello

Bibliographic record

VenueEvidence Based Library and Information Practice · 2015
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsnot available
Fundersnot available
KeywordsInterlibrary loanCollection developmentLibrary scienceTurnaround timeLoanComputer scienceWork (physics)Medical educationBusinessMedicineFinanceEngineering

Abstract

fetched live from OpenAlex

A Review of: Waller, J. H. (2013). Undergrads as selectors: Assessing patron-driven acquisition at a liberal arts college. Journal of Interlibrary Loan, Document Delivery & Electronic Reserve, 23(3), 127-148. http://dx.doi.org/10.1080/1072303X.2013.851052 Abstract Objective – To examine the viability of an undergraduate-focused, patron-driven acquisitions strategy in a small college library and to evaluate the titles acquired through this program for collection appropriateness, patron satisfaction, and cost effectiveness. Design – Case study. Setting – A small, Catholic college in the Eastern United States with 1,850 undergraduate students. Subjects – Acquisitions of 432 print monographs selected by students and 18,624 print monographs selected by librarians and faculty members. Methods – The author compared purchases selected from a pool of undergraduate interlibrary loan requests acquired from 2004 to 2013 to purchases acquired during the same time period through traditional means, including collection development work by librarians and selections by academic departments. The author evaluated titles for use based on circulation figures, for suitability using overlap analysis with the collections of four peer libraries, for patron satisfaction based on turnaround time, and for cost compared to items obtained through interlibrary loan. Main Results – Student selection had some advantages, including moderately increased circulation. Traditionally acquired titles were less likely to circulate initially and only 20.46% of these titles circulated two or more times compared to 24.77% of student-selected titles. Student selections were less likely to be acquired by peer libraries, and 63.66% of student-selected titles were unique, though they had a similar subject distribution to traditionally acquired titles. Compared to interlibrary loan, student-selected purchases had similar turnaround times and in the most recent three-year period had an average turnaround time that was one day faster than interlibrary loan. However, student acquisitions were far costlier than interlibrary loan. Items acquired through this program cost the library $39.70 on average while borrowing cost $6.18 on average. Conclusion – The student selection process was found to be moderately successful, and the library will continue the program. Based on the analysis of peer library holdings, the author suggests more librarian intervention in the selection process. Instead of purchasing any requests that meet the criteria for student selection, the author recommends an intermediary selection step of evaluation by librarians. Student selection did not show the dramatic advantages represented in studies conducted in larger academic libraries, and this disparity could potentially be due to a difference in selection quality between the undergraduate students at this college and the graduate and research populations of larger institutions.

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.

How this classification was reachedexpand

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.045
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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.

Opus teacher head0.026
GPT teacher head0.245
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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