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Record W2057438177 · doi:10.1080/01930826.2010.488600

E-Books Revisited: Surveying Student E-Book Usage in a Distributed Learning Academic Library 6 Years Later

2010· article· en· W2057438177 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

VenueJournal of Library Administration · 2010
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsLibrary scienceDownloadAcademic libraryLibrary instructionSociologyPsychologyComputer scienceInformation literacyWorld Wide Web

Abstract

fetched live from OpenAlex

ABSTRACT This article is the result of a 2009 survey of student usage of e-books at Royal Roads University (RRU) Library. The authors found that the proportion of students using RRU Library e-books has gone up since a similar 2003 survey, although only just above half of students are using RRU Library e-books. An almost identical number of student respondents (approximately 54%) said “no” to preferring a print version of the book over the e-book version of the book in both the 2003 and 2009 surveys. The majority of students rated the ability to download an e-book to a hand-held device as not important. There has been a notable increase in the use of e-books for course readings from 2003 to 2009. A lack of awareness of RRU Library e-books remains the top reason cited by students for not using them.

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 categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.015
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 head0.014
GPT teacher head0.255
Teacher spread0.241 · 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