MétaCan
Menu
Back to cohort
Record W6911289534 · doi:10.5281/zenodo.12169094

Coalition Publica: Collaborating for Equitable Open Access

2024· article· en· W6911289534 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsSimon Fraser UniversityUniversité de Montréal
FundersEuropean Commission
KeywordsPresentation (obstetrics)General partnershipContext (archaeology)GlobePublishingDigital libraryOpen dataExecutive summary

Abstract

fetched live from OpenAlex

Érudit and the Public Knowledge Project (PKP), together as Coalition Publica, have been collaborating on supporting the transition to sustainable open access publishing in the Social Sciences and Humanities in Canada by building a non-commercial, open source national infrastructure for digital scholarly publishing, dissemination, and research. Working in a bilingual national context across teams that span the globe and produce open source software used by over 34,000 journals worldwide, means that at its foundation Coalition Publica has a vested interest in supporting and sustaining a multilingual and bibliodiverse research literature that responds to community needs. Along with a presentation of the Coalition Publica project, this talk will highlight efforts by the Érudit and PKP teams to foster collaborative approaches to achieve common goals of equitable participation in knowledge creation for the public good. This presentation will highlight initiatives include a new in-kind, fee-free route toward PKP Membership through the Community Contributor Pathway, and updates to the Membership fee structure that enable communities in Low, Lower Middle and Middle Income Countries to be better integrated with the project’s governance. We will also highlight resources and interest groups that foster multilingual development of PKP software and documentation. Finally, we’ll cover how Érudit works with library partners to increase multilingual and French content in the DOAJ and advance the Partnership for Open Access that allows libraries to contribute financially to support the notably independent and non-commercial journals that participate in Coalition Publica. As a national effort that brings together scholarly journal publishers, university research libraries, and researchers in the social sciences and humanities, Coalition Publica is providing a way for stakeholders in Canada to collaborate to ensure community-driven scholarship thrives in a sustainable open access future.

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)0.066
metaresearch head score (Gemma)0.094
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: Empirical · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.349

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0660.094
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0120.007
Scholarly communication0.0300.023
Open science0.0060.040
Research integrity0.0100.009
Insufficient payload (model declined to judge)0.0530.019

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 head0.214
GPT teacher head0.357
Teacher spread0.144 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicPublishing and Scholarly CommunicationFrench-language works237,207