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Record W3211865462 · doi:10.1629/uksg.562

Longevity of print book use at a small public university: a 30-year longitudinal study

2021· article· en· W3211865462 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInsights the UKSG journal · 2021
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsLongevityCirculation (fluid dynamics)DemographyHistoryGerontologySubject (documents)Longitudinal studyMedicineLibrary scienceSociologyEngineeringComputer science

Abstract

fetched live from OpenAlex

This research uses the circulation history of print books in the University of Prince Edward Island’s (UPEI) collection to measure the longevity of usage using three different categories: Becher-Biglan (BB), major subject and academic department. Two sets of data provide for longitudinal analysis up to 30 years. About 10,000 books met the criteria for part 1, which had an average ten-year circulation longevity. About 14% had only one year of use and about 24% had less than five years’ longevity. There was little variation by BB, and the only major subjects that were noticeably different from the median were business and education, which were about 20% shorter. Part 2 included about 4,000 more recent books. 37% circulated for just one year and 64% circulated for at most a four-year range. There was very little variation in these results when broken down by BB, major subjects and academic departments. The one exception is business, which had a notably higher portion used only in one year. The circulation longevity of print books has significantly shortened over the last three decades at UPEI.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.482
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.072
GPT teacher head0.213
Teacher spread0.141 · 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