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Record W1956338739 · doi:10.21083/partnership.v2i1.148

Building an Undergraduate Book Approval Plan for a Large Academic Library

2007· article· en· W1956338739 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2007
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSubject (documents)Plan (archaeology)Undergraduate researchWork (physics)Library scienceCollection developmentComputer scienceMedical educationOperations researchEngineering managementData scienceEngineeringHistoryMedicineMechanical engineeringArchaeology

Abstract

fetched live from OpenAlex

The University of Alberta Libraries (UAL), working with two book vendors, created large-scale undergraduate book approval plans to deliver new publications. Detailed selections profiles were created for many subject areas, designed to deliver books that would have been obvious choices by subject selectors. More than 5800 monographs were received through the book approval plans during the pilot period. These volumes proved to be highly relevant to users, showing twice as much circulation as other monographs acquired during the same time period. Goals achieved through this project include: release of selectors’ time from routine work, systematic acquisition of a broadly based high-demand undergraduate collection and faster delivery of undergraduate materials. This successful program will be expanded and incorporated into UAL’s normal acquisitions processes for undergraduate materials.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.102
Open science0.0010.000
Research integrity0.0000.001
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 head0.064
GPT teacher head0.334
Teacher spread0.271 · 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