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Record W4290798458 · doi:10.5281/zenodo.6975589

Geographic differences in the uptake of diamond open access and APCs

2022· paratext· en· W4290798458 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

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typeparatext
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsDiamondComputer scienceMaterials science

Abstract

fetched live from OpenAlex

Geographical and income level analyses have shown that gold OA journals tend to be much more expensive in the Western world and in richer countries compared to other regions where APCs are generally much cheaper and skewed by a minority of expensive journals (Figure 4). Despite that, APCs often dominate the conversation regarding the sustainability and affordability of OA publishing. However, this ignores the funding models that the vast majority of DOAJ listed journals (71%) are using as they do not charge APCs. These diamond journals have also increased at a higher rate than their APC-based counterparts. Differences in the adoption of diamond OA may be observed between regions with Latin America achieving close to 100% diamond OA through regional initiatives such as the SciELO platform. While problems related to the perceived quality of diamond journals persist among researchers, our results shows that the Western APC-based way to do OA does not have to be the only way for researchers.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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: Other · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0310.015
Open science0.0290.046
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.172
GPT teacher head0.358
Teacher spread0.187 · 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