MétaCan
Menu
Back to cohort
Record W2095153281 · doi:10.1087/20120407

Article and book reading patterns of scholars: findings for publishers

2012· article· en· W2095153281 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

VenueLearned Publishing · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsBC Studies
Fundersnot available
KeywordsReading (process)Library scienceAcademic libraryScholarly communicationValue (mathematics)HumanismWork (physics)Media studiesDisciplineSociologyPublishingComputer sciencePolitical scienceSocial scienceLawEngineering

Abstract

fetched live from OpenAlex

ABSTRACT Surveys of academic staff in six universities in the UK provide insights for publishers into scholarly article and book reading patterns of academics and differences based on personal characteristics of readers. These surveys were part of the 2011 UK Scholarly Reading and the Value of the Library Study funded by JISC Collections and based on studies conducted by Tenopir and King since 1977. Scholarly articles, especially those obtained from the library's e‐journal collections, are a vital part of academic work. Reading patterns of books are quite different than articles; books most often come from personal print collections. Book readings are still important for research and teaching, however, especially for humanists. Academics come into contact with multiple sources of information every day and therefore, convenience and easy access are important factors. Knowing more about academic reading patterns helps publishers and librarians design more effective journal systems and services now and into the future.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly 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 score0.891
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0140.056
Open science0.0000.000
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 head0.061
GPT teacher head0.267
Teacher spread0.206 · 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