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Record W1498523756 · doi:10.18438/b8g02v

Enhancing Access to E-books

2015· article· en· W1498523756 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2015
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)Computer scienceTable (database)Library scienceInformation retrievalTable of contentsWorld Wide WebLibrary catalogDatabase

Abstract

fetched live from OpenAlex

Abstract
 
 Objective – The objective of the study was to determine if summary notes or table of contents notes in catalogue records are associated with the usage of e-books in a large university library.
 
 Methods – A retrospective cohort study, analyzing titles from three major collections of e-books was employed. Titles were categorized based on the inclusion of the MARC 505 note (table of contents) or MARC 520 note (summary) in the catalogue record. The usage was based on standardized reports from 2012-2013. The measures of usage were the number of titles used and the number of sections downloaded. Statistical methods used in the analysis included correlations and odd ratios (ORs). The usage measures were stratified by publication year and subject to adjust for the effects of these factors on usage.
 
 Results – The analysis indicates that these enhancements to the catalogue record increase usage significantly and notably. The probability of an e-book with one of the catalogue record enhancements being used (as indicated by the OR) was over 80% greater than for titles lacking the enhancements, and nearly twice as high for titles with both features. The differences were greatest among the oldest and the most recently published e-books, and those in science and technology. The differences were least among the e-books published between 1998 and 2007 and those in the humanities and social sciences.
 
 Conclusion – Libraries can make their collections more accessible to users by enhancing bibliographic records with summary and table of contents notes, and by advocating for their inclusion in vendor-supplied records.

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)0.001
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: Commentary · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0040.609
Open science0.0010.001
Research integrity0.0000.000
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 head0.034
GPT teacher head0.270
Teacher spread0.236 · 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