Rethinking Academic Publishing: A Call for Inclusive, Transparent, and Sustainable Reforms
Bibliographic record
Abstract
The current academic publishing system is increasingly defined by exclusionary gatekeeping, prestige-driven metrics, and restricted access, all of which undermine equity, innovation, and scholarly integrity. This position paper critiques these systemic issues and proposes a reform framework grounded in transparency, inclusivity, and sustainability. Key recommendations include mentorship-centered editorial models, post-publication peer review, diversified evaluation criteria, and the development of community-led open access platforms. The paper also anticipates common concerns, such as fears of declining quality and resistance from entrenched stakeholders, and offers counterarguments grounded in evidence and practice. The paper concludes with a call to action for researchers, editors, academic institutions, funding agencies, and policymakers to collaboratively transform the publishing landscape, ensuring that the production and dissemination of knowledge remains a public good.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.282 | 0.375 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.014 | 0.061 |
| Scholarly communication | 0.080 | 0.096 |
| Open science | 0.010 | 0.029 |
| Research integrity | 0.029 | 0.039 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".