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Record W2048442049 · doi:10.1111/hir.12042

Leisure reading collections in academic health sciences and science libraries: results of visits to seven libraries

2013· article· en· W2048442049 on OpenAlex
Erin Watson

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

VenueHealth Information & Libraries Journal · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsReading (process)RecreationLibrary scienceCollection developmentSelection (genetic algorithm)World Wide WebVariety (cybernetics)Collections managementData collectionComputer scienceWork (physics)SociologyPolitical scienceEngineeringSocial science

Abstract

fetched live from OpenAlex

OBJECTIVE: To visit leisure reading collections in academic science and health sciences libraries to determine how they function and what role they play in their libraries. METHODS: The author visited seven libraries with leisure reading collections and carried out a semistructured interview with those responsible either for selection of materials or for the establishment of the collection. RESULTS: These collections contained a variety of materials, with some libraries focusing on health-science-related materials and others on providing recreational reading. The size of the collections also varied, from 186 to 9700 books, with corresponding differences in budget size. All collections were housed apart, with the same loan period as the regular collection. No collections contained electronic materials. Although there was little comparable statistical data on usage, at the six libraries at which active selection was occurring, librarians and library staff felt that the collection was well used and felt that it provided library users with benefits such as stress relief and relaxation and exposure to other perspectives. CONCLUSION: Librarians and library staff at the libraries that undertook active selection felt that their leisure reading collection was worthwhile. It would be interesting for future work to focus on the user experience of such collections.

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)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0080.001
Scholarly communication0.0010.024
Open science0.0010.000
Research integrity0.0000.002
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 head0.127
GPT teacher head0.454
Teacher spread0.327 · 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