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Record W2124959948 · doi:10.1080/10723030903035121

Transitioning from Print to Electronic Information Delivery: An Update from the National Research Council Canada Institute for Scientific and Technical Information

2009· article· en· W2124959948 on OpenAlexaffabout
Stephen Kevin Anthony, Natalie J. Collins, Michael Ireland, Marsha Kaiserman, Donna Meighan

Bibliographic record

VenueJournal of Interlibrary Loan Document Delivery & Electronic Reserve · 2009
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsService (business)Information systemTechnical communicationSuiteLibrary scienceBusinessProcess (computing)World Wide WebEngineering managementPolitical scienceComputer scienceEngineeringMarketing

Abstract

fetched live from OpenAlex

Canada's national science library, the National Research Council Canada Institute for Scientific and Technical Information, is in the process of transforming its traditional document delivery services to meet the emerging needs of users. As such, the Canada Institute for Scientific and Technical Information has developed a suite of Web-based services, partnerships, and collaborations to better serve its users. These components have been brought together to create new service offerings such as Discover, and the National Research Council Canada Institute for Scientific and Technical Information Standards Store. Quicker, more flexible and convenient access to the world's scientific, technical, and medical information from the Canada Institute for Scientific and Technical Information and from sites where users congregate across the Web is the goal of Canada Institute for Scientific and Technical Information's new breed of information delivery services.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.982
Threshold uncertainty score0.579

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0100.028
Science and technology studies0.0050.006
Scholarly communication0.0180.017
Open science0.0060.004
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0090.007

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 head0.029
GPT teacher head0.251
Teacher spread0.223 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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
Published2009
Admission routes2
Has abstractyes

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