Bibliographic record
Abstract
Through a lifetime of increasingly broad and significant experiments and discoveries, Henry Taube became the world's premier mechanistic inorganic chemist (one who focuses on reaction pathways and reaction mechanisms produced during inorganic chemical changes). In his first faculty appointment, he examined the oxidation–reduction reaction and identified questions that could only be answered through precise experimentation. He then focused on the chemistry of transition metal complexes, laying out the details of what he called ‘inner sphere electron transfer’. He went on to compile a broad range of findings, leading to the elevation of inorganic chemistry to a major field of study. Taube earned bachelor's and master's degrees at the University of Saskatchewan and a PhD from UC Berkeley. After receiving his doctorate in 1941, he took a position as an instructor at Cornell University, where he remained until 1946. He then joined the faculty of the University of Chicago, where he carried out seminal investigations of the electron transfer reactions between metal ion complexes. In 1962 he moved to Stanford, where he continued studies of electron transfer mechanisms. He also twice served as chair (1972–74; 1978–79) of the Stanford Department of Chemistry and subsequently was appointed the Marguerite Blake Wilbur Professor in 1976. He formally retired from the faculty in 1986, but continued as an active scientist long afterward.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.451 | 0.356 |
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".