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Record W4251096009 · doi:10.32920/14636367

Key Factors for Consortial Success: Realizing a Shared Vision for Interlibrary Loan in a consortium of Canadian Libraries

2021· preprint· en· W4251096009 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsnot available
Fundersnot available
KeywordsInterlibrary loanCitationBusinessLibrary scienceKey (lock)Political scienceWorld Wide WebComputer scienceOperating system

Abstract

fetched live from OpenAlex

<p>Purpose</p> <p>The purpose of this paper is to identify the factors associated with the successful implementation of a shared interlibrary loan (ILL) system by the Ontario Council of University Libraries (OCUL), a consortium of 20 Ontario universities.</p> <p>Design/methodology/approach</p> <p>The paper is a descriptive review of the approaches taken in the consortial implementation of OCLC's VDX software. The paper elaborates on the building‐blocks and barriers to success as they were experienced, first by participants in OCUL's centralized implementation activities, and second at the local level by staff at Ryerson University Library, a member institution. Now end users can simultaneously search world‐wide catalogues, submit and track progress of requests, and receive materials rapidly. System functionality includes auto‐mediated interlibrary loans (direct requesting); use of link‐resolver software to transfer citation information from borrowing library catalogues to ILL request forms; and ISO peer‐to‐peer messaging.</p> <p>Findings</p> <p>Post‐implementation analysis reveals several key factors that contributed to the project's success. These include: planning, leadership, financial support, technical support, cooperation, staff commitment, communication, staff‐and end‐user centered focus, training and evaluation.</p> <p>Practical implications</p> <p>This may have broad application for similar complex projects.</p> <p>Originality/value</p> <p>The OCUL VDX implementation has achieved the originally expected economies of scale, service performance improvements and reduction in localized maintenance and system support. However, there have also been several unforeseen benefits such as the formulation and standardization of the OCUL ILL policies, and the development of Canada‐wide consortial reciprocal agreements. At the operational level, staff have had to adjust their management styles and develop confidence not only in their individual skills but also in cooperative thinking, reliance on centralized support, and in the overall system. Throughout the project the objectives have been clearly identified, and, for the most part, enthusiastically adopted, by consortium members. Recognizing that ILL is a service that is in transition, staff now look at business transformation and ways to identify, share and adopt best working practices.</p>

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScholarly communication
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Not applicablemedium
gptno category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualmedium
models splitAgreement compares identical category sets and study designs across arms.

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 categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0020.004
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 head0.039
GPT teacher head0.255
Teacher spread0.216 · 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