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Record W4417340295 · doi:10.18438/eblip30814

Cost-Benefit Analysis of Security Gates and Collection Shrink in the Academic Library

2025· article· en· W4417340295 on OpenAlexvenueno aff
Loren D. Mindell, Amanda Hardin, G. TOTH, Joshua Vossler

Bibliographic record

VenueEvidence Based Library and Information Practice · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsSample (material)Security analysisSet (abstract data type)Computer security modelData collectionBest practiceSecurity serviceSample size determination

Abstract

fetched live from OpenAlex

Objective – Two academic libraries serving public universities in the United States faced a similar choice of whether to keep magnetic security gates in place and pay for their upkeep. To make informed decisions, researchers at Chicago State University (CSU) and Western Kentucky University Libraries (WKUL) ran concurrent studies with different models of cost-benefit analysis to determine whether magnetic security gates were worth the expense. Security gates were physically present but not functional at both institutions during the study. Exploring different methods of analysis provided opportunities to discuss whether security gates are effective at preventing collection shrink, identify issues in measuring the costs of theft, and explain why WKUL chose to remove magnetic security gates altogether. Methods – At CSU, we measured loss over a six-month period on a sample set of 110 monographs. The cost of replacing missing books, including labor and incidentals, was used to approximate the cost of shrink in an equivalent percentage of materials from the main collection housed in open stacks. We compared the expected cost of replacing the security gates to the estimated cost of shrink to determine how much loss security gates would need to prevent to justify the cost of maintaining security gates. While the sample was neither randomized nor large enough to draw conclusions, trialing this model of cost comparison presented an opportunity for discussion. WKUL had a practice of running a near continuous inventory prior to this study. In 2024, staff inventoried the entire collection held in open stacks. This provided a precise number of how many items went missing during that timeframe. We compared the number of missing items to the quoted cost of annual service and maintenance fees to determine whether maintaining security gates would justify the cost. Simply dividing the annual service fees by the number of missing items provided a dollar value per missing item that security gates would have had to save in order to justify their expense. Results – The calculated annual cost of collection shrink at CSU is $136,335, much more than the estimated $85,121 to replace the magnetic security gates. Inferring a similar rate of shrink to the sample set, despite the problems with the method, suggests that new security gates would have to prevent 62.44% of total loss to pay for themselves in the first year, 33.66% in two years, and 24.07% over three years. While we did not draw firm conclusions from this trial analysis, it is evident that security gates would likely save money over the span of a few years. WKUL found that 99 individual items went missing from all collections housed in open stacks over 2024. The quoted annual subscription fee for the four sets of security gates at WKUL is $8,894. These data suggest that security gates at WKUL must prevent an average of $89.83 in lost value per missing item to justify the annual fees alone. Another way of describing this is that if each item that went missing cost $89.83, security gates would have to stop 100% of collection shrink to make up for their annual subscription fees. A more likely scenario is that security gates would have prevented 50% of the collection shrink, and materials would have had to carry an average value of $179.66 for security gates to pay for themselves. Conclusion – At first glance, the data from CSU suggests that magnetic security gates have the potential to prevent enough collection loss that they pay for themselves. The library at CSU has an annual operating budget of just over $2 million, and an annual loss of nearly $140,000 in value would be unsustainable. However, the data from WKUL suggest it would be difficult to justify the annual subscription fees, let alone the cost of replacing defunct hardware. Further inquiry and discussion are needed to explore variables not covered in this study, including employee theft, security gate efficacy, the lifecycle of library materials, and how security gates may affect students’ feelings of belonging and inclusion.

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

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)0.030
metaresearch head score (Gemma)0.082
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.082
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.005
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0040.006
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.000

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.

Opus teacher head0.023
GPT teacher head0.325
Teacher spread0.302 · 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

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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