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
What does it mean to be an international journal? In an online publishing and submission landscape, almost all journals, even those with a specific location in their title, are effectively international in the sense that they may have readers around the world and accept submissions for any researcher, anywhere. But is that enough to be truly international? In this issue of Science Editor, three articles explore what it means to be an international, geographically diverse journal or organization and provide suggestions for improvement. Global Balance As discussed in a recent Science Editor Newsletter,1 The makeup of an editorial board is an area where journals may try to improve their international reach, adding members from across the globe. But as Rafael Araújo and Geoffrey Shideler report in the article based on their award-winning abstract from the CSE 2019 Annual Meeting, Cultural and Geographical Representation in the Editorial Boards of Aquatic Science Journals, the extent of many editorial board’s geographic diversity does not always compare to the geographic diversity of their authors. Specifically looking at aquatic science journals, Araújo and Shideler find that some countries, particularly the US, have an overrepresentation on editorial boards whereas others, particularly China, are underrepresented compared to how often authors from those countries publish in the journal. The authors refer to this difference as either an editorial surplus or deficit and provide a framework for determining where a journal stands: take the geographic representation of the editors (e.g., 50% US-based editors, 20% Canada, 10% Japan) and compare […]
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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.007 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it