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Record W2762542682

Open Access Monographs - Current Initiatives and Progress on Sustainable Models for Making Monographs Openly Accessible (webinar screening)

2017· article· en· W2762542682 on OpenAlexaboutno aff
Wendy P. Lougee, Charles Watkinson, Erich van Rijn, Lara Mainville, Kevin E. Smith

Bibliographic record

VenueThe Cupola: Scholarship at Gettysburg College (Gettysburg College) · 2017
Typearticle
Languageen
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsnot available
Fundersnot available
KeywordsCurrent (fluid)Engineering ethicsPolitical scienceComputer sciencePublic relationsEngineering
DOInot available

Abstract

fetched live from OpenAlex

The open access monograph is now definitely an important component of the scholarly communications landscape. However, with a growing number of initiatives, publishers, and economic models, the question is sustainability. There are a number of different models, including Open Book Publishers, Open Humanities Press, and numerous university and commercial publishers who have open monograph publications, thus more initiatives than we could include for this one-hour webinar. We have invited a selected number of representatives from various open monograph publishing initiatives to participate in a panel discussion about their current economic models and future of open access monographs. Each panelist will give a brief statement about their initiative, their editorial review process, their funding model, and their perspectives on the future of open access monographs. Following their brief statements, we will have a question and answer period moderated by Kevin Smith, the Dean of Libraries at the University of Kansas. We encourage academic libraries to invite members of their faculty to join in viewing the presentation and for the live presentation as questions from the audience will be addressed during the Q & A session. Participants for the panel include: AAUP Open Access Monograph Publishing Initiative - Wendy Pradt Lougee, University Librarian and McKnight Presidential Professor, University of Minnesota, Twin Cities. The Association of American Universities (AAU), Association of Research Libraries (ARL), and Association of American University Presses (AAUP) are implementing a new initiative with 13 universities and 60 university presses participating. Universities will provide subventions for open digital monographs, to be published by university presses. Lever Press and Knowledge Unlatched - Charles Watkinson, Associate University Librarian for Publishing, University of Michigan Library, and Director, University of Michigan Press. University of Michigan Press and Amherst Press are partners in the Lever Press which is supported by pledging institutions. University of Michigan Press has also been an active participant in Knowledge Unlatched, which uses a crowd -source funding model to make previously published works openly available. Charles is also a Board Member of Knowledge Unlatched Research and will compare Lever Press with KU. Luminos - Erich van Rijn, Assistant Director, Director of Publishing Operations at University of California Press. The financial model is shared costs between author, institution, publisher, and libraries. University of Ottawa Press - Lara Mainville, Director of University of Ottawa Press. OA publications are funded by the University of Ottawa libraries. Moderator: Kevin Smith, Dean of Libraries at the University of Kansas. Prior to joining the University of Kansas, Kevin served as Director of Copyright and Scholarly Communications at the Duke University Libraries

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)0.060
metaresearch head score (Gemma)0.092
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.996
Threshold uncertainty score0.495

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0600.092
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.010
Science and technology studies0.0060.005
Scholarly communication0.0320.030
Open science0.0040.009
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.1480.071

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 head0.147
GPT teacher head0.403
Teacher spread0.256 · 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
GenreOther

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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