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Record W6950082862 · doi:10.5281/zenodo.7307273

Funding OA Books

2022· article· en· W6950082862 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsTrinity College
Fundersnot available
KeywordsPublishingInstitutionStatement (logic)Scholarly communicationPublic policyLegislation

Abstract

fetched live from OpenAlex

<em>Presentation as part of a COPIM webinar hosted by the National Acquisitions Group</em> In early 2022 the major research funding body in the UK (UKRI), released a policy statement mandating OA monographs, with an implementation date of January 1st, 2024. This date will see a shift from a hypothetical future for OA books to a concrete policy with a hard deadline. Add to this the forthcoming mandates on OA books from cOAlition S/Plan S in Europe, plus potential implications of the next REF in the UK, and it is clear that there is a pressing need for libraries and academic book publishers to understand how the sector will meet the challenges of implementing these policies. In this session, the speakers outline the current state-of-play and discuss how we can move to meet these imminent OA mandates. With a mix of presentation(s) and Q&amp;A, the audience is invited to discuss what the transition to open access for scholarly books will look like, and to question the challenges and opportunities. Who is at risk of being excluded, on the library and the publishing sides? How do we get from where publishing and libraries are today, to making these policies a workable reality in 2024? And how will all of this be paid for? Speakers will demonstrate how Book Processing Charges (BPCs) worsen inequality by favouring the most wealthy institutions and authors and will then highlight some collective library models that seek to spread the funding of OA books so that no single institution bears a disproportionate cost. Programmes in use today range from the large and well-funded publishers like MIT and their <em>Direct 2 Open</em>, to much smaller publishers like OBP and punctum books. Highlight the COPIM project’s <em>Opening the Future </em>model and the Open Book Collective. With the clock ticking on policies, conversation is urgently needed on the practicalities of making mandates reality. What can libraries do to meet the challenge, and how might supporting programmes like those launched by COPIM ensure that the transition to OA is a sustainable and bibliodiverse one? The transition to OA should not leave smaller and medium-sized presses behind; nor should it rely on paying BPCs, which risks excluding any author without funding. And the transition must also be sustainable for 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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.000
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0660.002

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 head0.095
GPT teacher head0.245
Teacher spread0.150 · 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
Published2022
Admission routes1
Has abstractyes

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