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Record W7011858198

New directions in digital information delivery in the web environment at the NRC Canada Institute for Scientific and Technical Information

2008· article· en· W7011858198 on OpenAlexvenueaboutno aff

Bibliographic record

VenueNPARC · 2008
Typearticle
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
Fundersnot available
KeywordsDigital libraryDominance (genetics)Information systemWork (physics)Digital transformationElectronic publishingElectronic document
DOInot available

Abstract

fetched live from OpenAlex

Purpose: In 2007, NRC-CISTI launched two new online electronic discovery services, Discover and eBook Loans. This is just the beginning of changes at NRC-CISTI. The paper describes the new services, NRC-CISTI’s plans for transforming document delivery and the importance of these emerging business models for libraries. Design/Methodology/Approach: The paper is conceptual in nature, describing the Discover and eBook Loan services, discussing NRC-CISTI’s plans for transformation from print to electronic document delivery and the impact of the growing dominance of electronic literature, on library resource sharing models. Findings: The new breed of Web-based user oriented services have aroused different reactions in the library community, some very positive, some neutral, some negative. As NRC-CISTI embarks on more changes to its services it will work within the library community to make these services relevant to their needs. Originality/Value: Newly emerging information delivery services related to the digital landscape underlines the richness of new ideas in the library community to improve access to scholarly literature for users.

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.

How this classification was reachedexpand

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.034
Open science0.0010.000
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 head0.032
GPT teacher head0.249
Teacher spread0.217 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes2
Has abstractyes

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