Supplementary material from "Boris Peter Stoicheff. 1 June 1924 — 15 April 2010"
Bibliographic record
Abstract
Boris Stoicheff was a pioneer in the use of high-resolution Raman spectroscopy at the National Research Council of Canada to elucidate the structural properties of molecules. He was also one of the first scientists to apply lasers to spectroscopy, investigating spontaneous and stimulated Raman and Brillouin scattering in liquids and solids at the University of Toronto. He later extended the range of tunable coherent sources into the vacuum ultraviolet (VUV) and extreme ultraviolet (XUV) regions down to 80 nm, allowing investigations of electronic states and their lifetimes for rare gas dimers. He authored 190 research and review articles as well as a biography of his postdoctoral mentor and later his senior colleague, Gerhard Herzberg. He used his keen insight, warm personality and strong personal skills to serve the scientific community in numerous administrative roles, including terms as president of the Canadian Association of Physicists and the Optical Society of America. His 24 PhD graduates and more than 20 postdoctoral fellows and visitors, all of whom benefitted from his strong mentoring skills and high standards, have gone on to prominent positions in academia, government and industry.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.790 | 0.613 |
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".