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Record W3114449178 · doi:10.5703/1288284317142

Communicating Collections: Strategies for Informing Library Stakeholders of Collections, Budget, & Management Decisions

2020· article· en· W3114449178 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsPurdue Pharma (Canada)
Fundersnot available
KeywordsDialog boxCollection developmentData collectionComputer scienceOrder (exchange)Construct (python library)Process (computing)Academic librarySelection (genetic algorithm)Collections managementKnowledge managementWorld Wide WebBusinessLibrary scienceSociology

Abstract

fetched live from OpenAlex

A challenging aspect of the collection management process is effectively communicating with stakeholders about library resources. Communication can range from obtaining patron feedback integral in collection planning to effective messaging elaborating on collection budgets and cancellation decisions. It has also become increasingly necessary to explain the various acquisition models that affect the landscape of library content and use of electronic resources. In this paper, the University of South Florida will present the results of a survey of the approaches used in academic library websites to communicate collection policies along with related considerations, statistics and data, justifications, and factors affecting selection practices. Information about the important elements used to construct a dialog with faculty and administration in order to demonstrate the costs and value of library resources to those in the academic community is included. A case study demonstrating the practical implementation of these communication principles at the Arthur Lakes Library at the Colorado School of Mines will be discussed. The study will show how the Library was able to break free from a cycle of collection stagnation, which was perpetuated by a lack of effective communication. The result was that the Library was able to tell a story with data in order to communicate a message, as well as strengthen their partnerships with faculty regarding collection management.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.386
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.000
Scholarly communication0.0010.003
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 head0.105
GPT teacher head0.259
Teacher spread0.155 · 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