Proceedings of the International Symposium on Frontiers of Science ; in celebration of the 80th birthday of C. N. Yang, 17-19 June 2002, Tsinghua University, Beijing, China
Bibliographic record
Abstract
Nobel Laureates and Wolf Prize Winner - The Laser -- What It Is and How It Happened (C H Townes, Nobel laureate Berkeley) - Neutrino Physics (R L Moessbauer, Nobel laureate Muenchen) - Gauge Theory at Tsinghua (S-S Chern, Wolf Prize winner Nankai University & Berkeley) - Emergent Relativity (R B Laughlin, Nobel laureate Stanford) - Watching Molecular Systems Work, One at a Time (S Chu, Nobel laureate Stanford) - The Hidden Information in the Stanford Model (G 't Hooft, Nobel laureate Utrecht) - Bose-Einstein Condensation in a Dilute Gas the First 70 Years and Some Recent Experiments (E A Cornell & C E Wieman, Nobel laureates Colorado) - Production of a Bose-Einstein Condensate of Metastable Helium Atoms (C Cohen-Tannoudji, Nobel laureate College de France) Other Plenary Speakers Functional Analysis of the Human Genome: Study of Genetic Disease (L-C Tsui, Toronto) Angle-Resolved Photoemission Spectroscopy Studies of Cuprate Superconductors (Z-X Shen, Stanford University) Superconductivity in 4-Angstrom Carbon Nanotubes (P Sheng, Hong Kong University of Science and Technology) Understanding High Tc Superconductivity (Z-Y Weng, Tsinghua University) Some Reflections on the Mechanization of Mental Labor in the Computer Age (W-T Wu, Academia Sinica) Research and Development Towards X-Ray Free Electron Lasers (L H Yu, Brookhaven National Laboratory) Imaging the Quantum World Using the Phase of Electron Waves (A Tonomura, Hitachi). Papers from Parallel Sessions, and Speeches
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.091 | 0.035 |
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".