In Memoriam – Duncan A. Gordon, 1930–2012
Bibliographic record
Abstract
In the summer of 2011, Duncan Gordon first announced his plans to retire as The Journal's Editor-in-Chief, a position he had held since 1979.The news was received with mixed emotions: We all knew he needed more free time to enjoy other aspects of life, but it was also clear that the new editor was going to have very large shoes to fill.When I was asked to consider becoming editor-in-chief and when the position was ultimately offered to me, an important part of my decision to accept was based on Duncan's ready availability as a mentor.Sadly for Duncan, as well as for all of us, he soon developed acute myelogenous leukemia.To watch such a great, 'young,' passionate man become ill and succumb to this terrible illness was truly sad.Despite the shortened mentorship and guidance time, I am grateful to have had the opportunity to observe how to balance the many aspects required to run a leading rheumatology journal.Those who know me, however, will be the first to confirm that subtlety, mediation, and conciliation are not my forte.Nevertheless, such characteristics are required of a journal editor, and certainly they were Duncan's strong points.I hope that my short time as co-editor-in-chief with Duncan, as well as more than 20 years on the editorial committee, will have allowed me, if only by osmosis, to acquire some of Duncan's virtues, both as a person and as a journal editor.Duncan showed true leadership in rheumatology, including disseminating new knowledge in the field, as he successfully guided The Journal from infancy and childhood to adulthood; he was also an outstanding human being.I am sure that all those whose lives he touched will remember him as fondly and for as long as he will be remembered by myself and the rest of his "family" at The Journal.The tributes that follow here are dedicated in loving memory and in honor of Duncan and his accomplishments.www.jrheum.org
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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 | 0.004 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.017 |
| Insufficient payload (model declined to judge) | 0.016 | 0.017 |
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".