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Record W1581290890 · doi:10.18438/b85c7r

Electronic Journals Appear to Reduce Interlibrary Lending in Academic Libraries

2007· article· en· W1581290890 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 · 2007
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsnot available
Fundersnot available
KeywordsInterlibrary loanLibrary scienceState (computer science)Computer scienceWorld Wide WebPolitical science

Abstract

fetched live from OpenAlex

Objective – To determine the impact of electronic journals on interlibrary loan (ILL) activity. The hypothesis predicted that ILL requests would fall by approximately 10% during a four-year period, that e-journal use would increase by 10% per year and that there would be a correlation between the two.
 
 Design – Longitudinal data analysis of interlibrary loans over an eight year period from 1995 to 2003. The second part of the study is a retrospective data analysis of e-journal use from 2001-2005.
 
 Setting – The 26 largest libraries in the state of Illinois, USA; all but the Chicago Public Library are academic institutions.
 
 Subjects –
 1. Journal article photocopy requests originating in the 26 libraries divided into three data sets: 1995/96, 1999/00 and 2002/03. 
 2. Electronic journal usage statistics from 25 libraries subscribing to packages within the EBSCOhost database for the fiscal years 2001-2005.
 
 Methods –A retrospective analysis was conducted using interlibrary loan data for journal article photocopy requests either originating from or being satisfied by the 26 libraries in the study. It examined the data in three ways: the 26 libraries together, requests sent to libraries in the state of Illinois excluding the 26, and requests using libraries outside the state. The second part of the study examines usage data of electronic journals available in 25 of the 26 libraries.
 
 Main results – In the period from 1999 to 2003 a reduction in ILL requests of nearly 26% was observed within the participating 26 libraries. 
 
 Analysis by broad subject discipline demonstrates that social sciences and sciences show the largest drop in requests – a 25% decrease from 1995-2003. The number of requests from an individual journal title drops significantly in science by 34% within the state and by 37% for out-of-state requests.
 
 While the humanities actually showed an increase in the number of requests, the large increase in out-of-state requests (20.6% overall between 1995 and 2003) slowed significantly with an increase of only 2.6% from 1999-2003 indicating that sources other than ILL are providing articles to this field.
 
 Nearly identical peaks and troughs in ILL requests over the three study periods demonstrate predictably consistent high and low use subject areas.
 
 Use of the e-journals collection was shown to increase at well over 10% per year.
 
 Of the most highly requested ILL titles, 46% were available as e-journals, indicating a significant lack of awareness or inability to access electronic resources among some library users.
 
 Conclusion – The hypothesis that state-wide ILL requests would decline by 10% was far surpassed. Libraries most frequently borrowed titles that were low-use and outside the scope of their collections. Titles requested more than 20 times in each study period were those least frequently borrowed, as well as least requested from outside the state, which demonstrates a cost-effective use of library resources. This indicates that libraries are judiciously providing access to high-use titles locally. All three data sets included in-state titles requested more than 20 times, as well as 18 titles requested from out of state, suggesting that they should be considered for purchase within Illinois. While access to e-journals appears to have reduced the number of ILLs, there is clearly a need for some libraries to improve the way in which they help their users access the collection.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0020.565
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 head0.024
GPT teacher head0.286
Teacher spread0.262 · 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