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Record W2059013837 · doi:10.1177/0340035208092173

Canadian Libraries on the Agenda: their accomplishments and directions

2008· article· en· W2059013837 on OpenAlexaffabout
Gwynneth Evans, Réjean Savard

Bibliographic record

VenueIFLA Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsUniversité de MontréalUniversity of Toronto
Fundersnot available
KeywordsTheme (computing)Library scienceDigitizationPolitical scienceCollection developmentSociologyPublic relationsPublic administrationWorld Wide WebTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

The authors present an analysis of Canadian libraries in the light of the current president's theme: Libraries on the Agenda. Claudia Lux chose this theme with colleagues to emphasize the role of libraries in the information society and to encourage them to contribute to all sectors of society and to national development. The article is based on the review of a number of studies and on reports and research found in and beyond library literature. Canada is a very large country and its society is quite diverse. This article explains the major trends affecting all libraries in Canada: funding, digitization of collections, consortial arrangements for electronic collections, education, etc. The authors then review the situation in the various types of libraries; national, academic, public, school and special libraries. They conclude the paper with a reflection on leadership and the observation that Canadian libraries are on the agenda and active.

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)0.039
metaresearch head score (Gemma)0.032
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: Review · Consensus signal: none
Teacher disagreement score0.951
Threshold uncertainty score0.943

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.032
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0120.025
Science and technology studies0.0450.019
Scholarly communication0.0490.013
Open science0.0050.011
Research integrity0.0120.011
Insufficient payload (model declined to judge)0.0110.002

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 head0.075
GPT teacher head0.281
Teacher spread0.206 · 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
GenreReview

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

Citations3
Published2008
Admission routes2
Has abstractyes

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