1 LETTER FROM THE EDITORS This issue sees a change in the
Bibliographic record
Abstract
Editorship of CRUX MATHEMATICORUM. After many successful years under the accomplished leadership of Bill Sands and Robert Woodrow, the editorial o ce has moved from the University of Calgary to Memorial University of Newfoundland. It is our intention to maintain the high standard that has led to CRUX MATHEMATICORUM having an excellent international reputation as one of the world's top problem solving journals. This high standard isaresult of the submissions from the readership, and we encourage you all to continue to provide this. Please write to the new editor if you have suggestions for improvements. Readers will be delighted to know that Robert Woodrow has agreed to continue as editor of the Olympiad Corner. However, he will soon be relinquishing the Skoliad Corner. Contributions intended for that section should be sent directly to the editor. Bill Sands will remain \\in the background", and the new editor is indeed delighted to be able to call on Bill's sage advice whenever necessary. There areafew changes in the works. We shall continue with the present format, which the readership appears to enjoy, but we shall change from 10 issues of 36 pages (360 pages per volume) to 8 issues of 48 pages (384 pages per volume). Although this has two fewer issues, the bonus is that there are24extra pages per year. This allows increased e ciency of printing and helps to control mailing costs. The new schedule will have issues
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 | 0.007 | 0.053 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.014 | 0.018 |
| Insufficient payload (model declined to judge) | 0.048 | 0.051 |
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".