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Record W7128607200 · doi:10.26108/f71h-6s09

Librarians and libraries supporting open access publishing.

2009· article· en· W7128607200 on OpenAlexaboutno aff

Bibliographic record

VenueAcadiaU-DEV · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsnot available
Fundersnot available
KeywordsPublishingScholarly communicationPublicationService (business)Information accessOpen access publishingElectronic publishingService provider

Abstract

fetched live from OpenAlex

As new models of scholarly communication emerge, librarians and libraries have responded by developing and supporting new methods of storing and providing access to information and by creating new publishing support services. This article will examine the roles of libraries and librarians in developing and supporting open access publishing initiatives and services in higher education. Canadian university libraries have been key players in the development of these services and have been bolstered by support from librarians working through and within their professional associations on advocacy and advancement initiatives, and by significant funding from the Canadian Foundation for Innovation for the Synergies initiative – a project designed to allow Canadian social science and humanities journals to publish online. The article also reflects on the experiences of three librarians involved in the open access movement at their libraries, within Canadian library associations, and as creators, managers, and editors in two new open access journals in the field of library and information studies: Evidence-based Library and Information Practice published out of the University of Alberta; and Partnership: the Canadian Journal of Library and Information Practice and Research hosted by the University of Guelph. As active participants in the creation of open access content within their own field, the authors are able to lend their experience to faculty in other disciplines and provide meaningful and responsive library service development

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0900.075
Open science0.0030.001
Research integrity0.0000.001
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 head0.121
GPT teacher head0.339
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
Published2009
Admission routes1
Has abstractyes

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