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Record W1986872795 · doi:10.1108/03074801211199022

Are books becoming extinct in academic libraries?

2011· article· en· W1986872795 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

VenueNew Library World · 2011
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPopularityReading (process)OriginalityValue (mathematics)PopulationPublic relationsHigher educationAcademic librarySociologyPerceptionLibrary scienceWorld Wide WebComputer sciencePsychologyPolitical scienceSocial scienceQualitative research

Abstract

fetched live from OpenAlex

Purpose Academic librarians who are planning for the future need to be knowledgeable about the short‐ and long‐range outlook for print. They must also consider what will happen if libraries abolish most or all of their books. This paper aims to explore current and future academic e‐book usage, and to suggest ideas for response to collection changes. Design/methodology/approach This article examines a wide range of studies and comments on this timely topic. Findings The disparity between the reception of e‐books in the general population and the adoption of them in the academic world suggests that print is still important to faculty and students. Given the advances in e‐book technology, the increasing popularity of online/distance education courses, the adoption of the new EPUB 3 format, and the ubiquity of mobile devices, e‐books are expected increasingly to replace print volumes in academic libraries. Originality/value What has received little attention in the literature is the complexity of the issue of e‐book reception in the academic world. This article looks at current and future e‐book usage from the perspective of several large studies on diverse aspects of academic life, including students' perceptions of libraries, their information‐seeking behaviors, faculty research habits and information needs, students' reading habits, and the impact of emerging technologies on teaching and learning. Providing insight into current and future academic e‐book trends, this article suggests practical ways to respond to these trends.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.444
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
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.013
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.080
GPT teacher head0.234
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