Practical Suggestions for Improving Scholarly Peer Review Quality and Reducing Cycle Times
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
Scholarly peer review is both central to scientific progress and deeply flawed. Peer review is prejudiced, capricious, inefficient, ineffective, and generally unscientific. Management journals have longer review cycles than journals in other fields. Long cycle times demonstrably harm early-career researchers. Meanwhile, a lack of transparency conceals and facilitates editorial misconduct, and some dismiss legitimate criticism of peer review as unfounded resentment. We can address these problems by eliminating unnecessary reviewing, simplifying the peer review process, introducing author rebuttals, creating an AIS ombudsman, and enforcing the relationship between submitting and reviewing. These problems are, however, entangled with fundamental problems with journals. Ultimately, therefore, we can only fix peer review in conjunction with replacing journals with repositories.
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 | 0.061 | 0.464 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 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