2021 Franz Volhard Award, International Society of Hypertension. From RAAS, Endothelin, Immunity and Genes to Vascular Remodeling in Hypertension
Bibliographic record
Abstract
I felt extremely happy and honored being selected as the 2021 Volhard Award of the International Society of Hypertension, and as well grateful to the ISH Awards Committee.Dr. Franz Volhard (1872-1950) was one of the most prominent nephrologists and academic physicians in Germany in the first half of the 20 th Century, having among other achievements classified renal disease in "nephrosis", "nephritis", and renal vascular disease (renovascular hypertension).He also realized that "malignant pale hypertension was accompanied by vessel wall destruction, vasospasm, ischemia, and eventually irreversible organ (renal) damage.…" 1 distinguishing it from "benign" hypertension.Accordingly, his ideas fed directly into my lecture for the Franz Volhard Award at the virtual 2021 ESH/ ISH OnAir joint meeting, on Vascular remodeling in hypertension, the major goal of my research.But I felt also happy to receive this honor named in memory of Franz Volhard, whose courage as Chair of Medicine in Frankfurt University led to his being expelled by the Nazis in 1938 because of his vocal opposition to the regime, only to be reinstated in 1945 after the fall of Naziism.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.080 | 0.053 |
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".