MétaCan
Menu
Back to cohort

At Your Leisure Pilot Project: Providing Leisure Reading Materials to a University Community through an Academic and Public Library Initiative

2017· article· en· W2746427567 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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2017
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsSt Martha's Regional HospitalSt. Francis Xavier University
FundersUniversidad del AtlánticoSt. Francis Xavier University
KeywordsHumanitiesLibrary sciencePolitical scienceSociologyArtComputer science

Abstract

fetched live from OpenAlex

Leisure reading collections were once as integral to academic libraries as they currently are to public libraries. This article examines the results of a partnership between an academic and a public library to provide access to leisure reading materials to a university community through a one-year pilot project. Data were collected using circulation statistics, gate counts, and comment cards in the form of book inserts. During the pilot, gate counts increased by 6%, and 91% of participants indicated that they would continue to use the collection often or sometimes. The pilot was officially adopted as a new service at the end of the one-year trial period.
 Auparavant, les collections de livres de détente faisaient partie intégrante des bibliothèques académiques tout comme elles font présentement partie des bibliothèques publiques. Cet article présente les résultats d’un partenariat entre une bibliothèque académique et une bibliothèque publique cherchant à donner accès à du matériel de lecture de détente à une communauté universitaire par le biais d’un projet pilote d’un an. Les données ont été recueillies en utilisant des statistiques de prêt, le nombre d’entrées et des commentaires reçus sur des formulaires insérés dans les livres. Durant le projet pilote, le nombre d’entrées a augmenté de 6% et 91% des participants ont indiqué qu’ils continueraient d’utiliser la collection souvent ou à l’occasion. Le projet a été adopté officiellement comme nouveau service suite au pilote d’un an.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.000
Scholarly communication0.0060.168
Open science0.0010.001
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 head0.255
GPT teacher head0.365
Teacher spread0.110 · 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