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Record W6967801900 · doi:10.5281/zenodo.15990591

Roadmap for SSHRC Aid to Scholarly Journals: Adopting Best Practices in Diamond Open Access

2025· article· en· W6967801900 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldDecision Sciences
TopicAcademic Publishing and Open Access
Canadian institutionsYork University
Fundersnot available
KeywordsBest practiceDirectoryGeneral partnershipDiamondCompetition (biology)Open access journal

Abstract

fetched live from OpenAlex

This road map is meant primarily for scholarly journals, with or without an embargo period/moving wall, that do not already use an open licence and that intend to comply with the criteria laid out in the 2025 SSHRC ASJ program, though any journal may find its guiding principles useful. In the summer of 2025, the Social Sciences and Humanities Research Council (SSHRC) announced its new Aid to Scholarly Journals (ASJ) program. The competition introduces new requirements for eligible journals for the next competition, scheduled for 2028. By 2028, SSHRC will require that all journals be made available in immediate open access without article processing charges (also known as diamond open access), have an open licence and be aligned with the criteria of the Directory of Open Access Journals (DOAJ) to be eligible for funding. Coalition Publica, as a partnership between Érudit and PKP working closely with university libraries, is committed to supporting journals in the transition to diamond open access and in adhering to best practices in digital publishing. We are pleased to provide this road map as one of the tools available to journals to undertake a transition to an open access business model and/or align the journal with best practices in open access publishing.

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)0.018
metaresearch head score (Gemma)0.117
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication, Open science, Insufficient 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 score0.857
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.117
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0030.000
Scholarly communication0.0800.018
Open science0.0180.011
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.397
GPT teacher head0.510
Teacher spread0.114 · 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
Published2025
Admission routes1
Has abstractyes

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