Gordon Henry Dixon. 25 March 1930—24 July 2016
Bibliographic record
Abstract
Gordon H. Dixon was a highly influential scientist who excelled in all the stages of his career and in each laboratory of every institution at which he was a member. Gordon began his graduate career at the University of Cambridge and completed his studies at the University of Toronto on the subject of transpeptidation reactions in biological systems. At an early stage of his career, he developed the technique of starch gel electrophoresis with Oliver Smithies and made important discoveries on the structure of human haptoglobins. Subsequently, Gordon contributed to the determination of the structure and active sites and mechanisms of action of trypsin and chymotrypsin and made seminal discoveries related to understanding the structure of the protein hormone insulin. However, he is best known for his later studies on the regulation of protamine genes and chromatin transitions in spermatogenesis. He is often considered to be the father of the protamine molecular biology underlying this gene system and his research is continually cited to this day. Gordon contributed to the identification and sequencing of the protamine genes, the discovery that methionine was required for initiation of protamine synthesis, understanding the roles of histone hyperacetylation and protamine phosphorylation, and the generation of the highly compact nucleoprotamine structure present in sperm, primarily using trout as a model system. Gordon is fondly remembered as a brilliant and very generous scientist by all his mentees, representing all levels from undergraduates to PhD and postdoctoral fellows, who provided a scientifically stimulating atmosphere in which they could develop their careers. From a more personal perspective, he also had a fun side and was devoted to his family. Gordon was a person who, owing to his legacy of great science and his fundamental humanity, still lives in the memory of many people.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.262 | 0.208 |
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".