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Canada’s national initiative to advance access to electronic journals*

2000· article· en· W3026290712 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Libraries Review · 2000
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsCanadian Association of Research Libraries
Fundersnot available
KeywordsAgency (philosophy)Funding AgencyCreativityGovernment (linguistics)Political sciencePublic administrationLibrary scienceCorporate governancePublic relationsBusinessSociologyComputer science

Abstract

fetched live from OpenAlex

Abstract This paper describes a national experiment in the licensing of full text information in journals, primarily in the fields of science, technology and medicine. It discusses the initiative of the federal government of Canada through the creation of the Canada Foundation for Innovation as a new funding agency, with an objective of improving research and creativity in Canadian science. The successful efforts initiated by the Canadian Association of Research Libraries/Association des bibliothèques de recherche du Canada to create a funding opportunity to develop the ‘information infrastructure’ for Canadian researchers and the resulting Canadian National Site Licensing Project (CNSLP) progress is discussed. The evolution of a project governance structure to maintain the support of the 64 participating institutions is reviewed and the need to develop an appropriate exit strategy at the conclusion of the federal funding is also considered.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.331
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.004
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.321
Teacher spread0.275 · 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