Bibliographic record
Abstract
Recounts the life and professional achievements of Anthony Schuyler Arrott. Arrott discovered point singularities in liquid crystals in 1970. He applied the insights he and Press obtained to magnetism, where he demonstrated the utility of thinking in terms of curls and divergences to describe magnetic confi gurations. He called attention to the swirls that had been unnoticed for 40 years in the basic Bloch domain-wall configuration in rectangular parallelepipeds introduced in 1935 by Landau & Lifshitz. In 2004, working with Riccardo Hertel, Arrott found the connection between the magnetization pattern in an ellipsoid with three unequal axes, calculated using finite elements, and the Landau-Lifshitz pattern in a rectangular parallelepiped. In 2016 he showed that the Landau-Lifshitz domain configuration evolves, upon reducing an applied magnetic field, through the formation of an extended octupole of magnetic charge density in a helical pattern, connecting the swirl on one surface to the swirl on an opposite surface. Since 1954 Arrott has published over 200 journal articles and several reviews of his wide range of studies. Arrott was elected Fellow of the American Physical Society in 1969 and of the Royal Society of Canada in 1983. He received the Gold Medal for Physical Sciences from the Science Council of British Columbia in 1982 and the Medal for Lifetime Achievement in Physics from the Canadian Association of Physicists in 1986. In 1988-1989 he served as president of the Canadian organization, Science for Peace. He is currently affiliated with Virginia Commonwealth University (since 2006) and Morgan State University, Baltimore (since 2013), in addition to Simon Fraser University. His current research is on micromagnetic analyses of three-dimensional patterns of ferromagnetism obtained using a magneto-optical microscope from Rudolf Shaefer and simulation tools from Michael R. Scheinfein.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.825 | 0.757 |
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".