THE FIRMAMENT OF NEUROSCIENCE LOSES A SHINING STAR (in memoriam Oleh Hornykiewicz)
Bibliographic record
Abstract
Oleh Hornykiewicz, one of the most accomplished neuropharmacologists of the 20th century passed away on May 26, 2020 at the age of 93. In 1939, Oleh’s father, a Ukrainian Catholic priest, fled with his young family from Soviet-occupied Ukraine and settled in Vienna. During his medical studies, Oleh became fascinated by pharmacology and in 1956 was awarded a fellowship to Oxford University (U.K.) where he worked with Dr. Hermann Blaschko, a pioneer in the study of enzymes of catecholamine synthesis and metabolism. At that time, it was still thought that dopamine was merely an intermediate in the synthesis of norepinephrine. Dr. Hornykiewicz demonstrated that even after its breakdown had been blocked, administration of dopamine or its precursor L-DOPA could elevate blood pressure in animal models. Dopamine was bioactive per se. Upon his return to Vienna in 1958, the young scientist began studying dopamine in the brain. Familiar with Parkinson’s Disease and intrigued by Arvid Carlsson’s finding that L-DOPA could counteract the akinesia of the reserpenized rat, Dr. Hornyckiewicz began to suspect that a dopamine deficiency mediated the motor symptoms of Parkinson’s disease. He developed new techniques, applied these to the study of postmortem brains, and demonstrated that Parkinson’s disease was associated with a dopamine deficiency in the basal ganglia. Shortly afterwards, he and Walter Birkmeyer observed how the intravenous administration of L-DOPA could awaken mute and akinetic patients with Parkinson’s disease. For the first time, a discreet chemical was both implicated in a complex brain disorder and could be used as a treatment. This stands as one of the seminal discoveries in neuropharmacology. To this day, L-DOPA remains a mainstay in the treatment of Parkinson’s disease. Over the following half-century Dr. Hornykiewicz continued his own work, generously mentored others and established brain banks in Vienna as well as in Toronto, Canada where he worked for many years. He received numerous awards, and was nominated for but not awarded the Nobel Prize in Medicine, in a decision that has remained controversial. He will remain forever, a brilliant star in the history of neuropharmacology.
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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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.032 |
| Insufficient payload (model declined to judge) | 0.009 | 0.012 |
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".