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Record W4200411224 · doi:10.9745/ghsp-d-21-00145

Equitable Open Access Publishing: Changing the Financial Power Dynamics in Academia

2021· article· en· W4200411224 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Health Science and Practice · 2021
Typearticle
Languageen
FieldDecision Sciences
Topicscientometrics and bibliometrics research
Canadian institutionsUniversité de MontréalUniversity of Toronto
Fundersnot available
KeywordsPublishingOpen access publishingPower (physics)Key (lock)Scientific publishingBusinessPublic relationsFinancePolitical scienceLibrary scienceComputer scienceLawComputer security

Abstract

fetched live from OpenAlex

<h3>Key Messages</h3> Open access publishing is steadily growing but associated with high article processing charges that exacerbate disparities between funded and unfunded researchers. Early-career and underrepresented researchers often are not eligible for waivers or discounts, thus resulting in either publishing barriers or financial hardship. Journals should adopt equitable solutions that enable every author to pursue open access publishing regardless of one9s funding status or affiliation. Publishing companies should rethink open access publishing models to reduce the financial barriers for readers and authors alike.

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.

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)0.177
metaresearch head score (Gemma)0.319
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics, Science and technology studies, Scholarly communication, Open science
Consensus categoriesMetaresearch, Scholarly communication, Open science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1770.319
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.328
Science and technology studies0.0020.000
Scholarly communication0.0550.024
Open science0.0100.014
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.667
GPT teacher head0.693
Teacher spread0.027 · 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