Exploring state and institutional support for sustainable scholarly journal publishing
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.
Bibliographic record
Abstract
The study aims to identify global practices of financial and non-monetary support for scholarly journals, funding criteria, and associated outcomes. An exploratory review retrieved 438 documents from Scopus, Web of Science, and Research4Life, 28 of which were selected for thematic content analysis. Data were categorized into eight micro-themes, including funding schemes, infrastructure, and journal evaluation criteria. The findings reveal six key models of support: (1) public grants at the state level, (2) program-based funding at the state level, (3) national infrastructure/platform support, (4) consortia-based funding, (5) direct institutional funding from publishers or parent organizations, and (6) institutional non-monetary or in-kind support. These models vary across regions and are often combined. Countries with stable national funding and infrastructure (e.g., Finland, Poland, Canada) show higher journal sustainability and indexing success. In contrast, journals in resource-limited settings often rely on volunteer work and institutional goodwill. A noteworthy trend is thematic and language-based targeting. For example, Taiwan prioritizes technology journals, Canada’s SSHRC supports social science journals, and Quebec programs only support French-language journals. Academic libraries contribute to sustainability through infrastructure, metadata services, and policy support.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.174 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.029 | 0.014 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.015 | 0.018 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it