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Record W2494076731 · doi:10.1177/095574900802000103

Library and Archives Canada: A Unique Institution

2008· article· en· W2494076731 on OpenAlexaboutno aff
Ian Wilson

Bibliographic record

VenueAlexandria The Journal of National and International Library and Information Issues · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsMandateInstitutionGovernment (linguistics)LegislationPolitical scienceNational archivesPublic relationsLibrary sciencePublic administrationWorld Wide WebComputer scienceLaw

Abstract

fetched live from OpenAlex

The legislation which created Library and Archives Canada was passed in 2004, establishing one of the first organizations in the world to fully integrate the services and functions of a national library and a national archives. The intent was not simply to combine two functions under a single administration, but to create a new, integrated, knowledge-based institution. One of the first challenges LAC faced was to design an organizational structure that would enable it to achieve its legislated mandate, including making Canada's documentary heritage known and more accessible. The vision of this new institution is embodied in a document called Directions for Change, which sets out five key directions for LAC's future: to become a new kind of knowledge institution; a truly national institution; a catalyst, working with others to strengthen the whole of Canada's documentary heritage; a prime learning destination; and a lead institution in government information management. Directions for Change also established the main elements that would guide LAC through the transformative process, such as making access the primary driver, going digital in all aspects, finding new approaches to describing Canada's documentary heritage, and putting a clear focus on the client. By following this direction, Library and Archives Canada has transformed not only itself, but the shape of our accumulated knowledge, and how it is used.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.016
Open science0.0000.000
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 head0.015
GPT teacher head0.177
Teacher spread0.162 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations2
Published2008
Admission routes1
Has abstractyes

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