Authors, peer reviewers, and readers: What is expected from each player in collaborative publishing?
Bibliographic record
Abstract
Scholarly publishing is in a crisis, with the many stakeholders complaining about different aspects of the system. Authors want fast publication times, high visibility and publications in high-impact journals. Readers want freely accessible, high-quality articles. Peer reviewers want recognition for the work they perform to ensure the quality of the published articles. However, authors, peer reviewers, and readers are three different roles played by the same group of individuals, the users of the scholarly publishing system-and this system could work based on a collaborative publishing principle where "nobody pays, and nobody gets paid".
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 | 0.237 | 0.486 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.024 | 0.038 |
| Scholarly communication | 0.083 | 0.066 |
| Open science | 0.006 | 0.020 |
| Research integrity | 0.030 | 0.017 |
| Insufficient payload (model declined to judge) | 0.007 | 0.008 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".