Bibliographic record
Abstract
Faces & PlacesDavid Sinclair is to receive the inaugural Canadian Association of Physicists (CAP)-TRIUMF Vogt Medal for his exceptional vision and contributions to the study of neutrino physics in the pioneering Sudbury Neutrino Observatory (SNO) and for exemplary leadership in establishing the SNOLAB facility.Named in honour of Erich Vogt, a Canadian nuclear physicist and one of the founders of TRIUMF, the CAP-TRIUMF Vogt Medal has been established to recognize outstanding experimental or theoretical contributions to subatomic physics.In 2002 the SNO experiment, situated 2 km underground in the Vale/Inco Creighton Mine near Sudbury, Ontario, solved the long-standing solar neutrino problem by finding direct evidence that neutrinos change type as they escape through the Sun (CERN Courier May 2007 p26).Sinclair, who is professor of physics at Carleton University, Ontario, and a senior scientist at TRIUMF, was one of the leaders of the experiment.Sinclair returned to Canada to participate in the SNO project after 16 years at Oxford University, where he worked on research on the structure of nuclei and also designed the first dedicated carbon-dating facility, which was used to date the Turin Shroud.He is now director of facilities development for SNOLAB -an expansion of the
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.173 | 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".