Bibliographic record
Abstract
saw a decline in new submissions relative to last year from 112 to 90.As Figure 1 shows, the trend in the number of submissions for the last 20 years appears stable, though 1998/99 equaled 1993/94 as the lowest year.The editors are satisfied that the quality of submissions has remained high.Tables 1 through 3 show the distribution of new submissions by topic, region, and era.Each of these measures of the scope of the JOURNAL'S coverage reflects a continuation of the breadth that is a central goal of this publication.The decline in the number of new submissions was more than offset by a rise in the number of resubmissions and meant that the offices handled ten more papers than last year.Given that resubmissions formed a larger percentage of papers, the fact that the acceptance rate was higher and both the rejection and revise-and-resubmit rates were lower than last year's is not surprising (see Table 4).The time required for a decision lengthened slightly.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
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; both teacher heads 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".