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Record W2000260299 · doi:10.3390/publications1010027

Open Access Publishing in Canada: Current and Future Library and University Press Supports

2013· article· en· W2000260299 on OpenAlexaffabout
Donald Taylor, Heather Morrison, Brian Owen, Kumiko Vézina, Andrew Waller

Bibliographic record

VenuePublications · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsUniversity of OttawaUniversity of CalgaryConcordia UniversitySimon Fraser University
Fundersnot available
KeywordsPublishingLibrary scienceOpen access publishingPolitical sciencePublic relationsBusinessManagementComputer scienceLawEconomics

Abstract

fetched live from OpenAlex

Canadian university libraries, Canadian university presses, and non-university scholarly presses at Canadian universities were surveyed in the first part of 2010 as to the level of their support of Open Access (OA) journal publishing. Respondents were asked about journal hosting services in their organization as well as their thoughts on internal and external support for open access publishing. Results showed that most of the organizations are hosting OA journals, largely between one and five in number, and many supply journal hosting services, including some technical support. Personnel resources are a notable factor in the ability to host journals. Most respondents engage in some sort of internal support for open access publishing and are open to options that they are presently not utilizing. They are particularly amenable to OA publishing support from outside of their organizations, especially assistance at a consortial level.

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)0.006
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.686

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.013
Science and technology studies0.0140.004
Scholarly communication0.0120.005
Open science0.0030.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0200.001

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 head0.059
GPT teacher head0.250
Teacher spread0.192 · 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

Citations5
Published2013
Admission routes2
Has abstractyes

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