The Arithmetic and geometry of algebraic cycles : proceedings of the CRM summer school, June 7-19, 1998, Banff, Alberta, Canada
Bibliographic record
Abstract
Cohomological Methods: Filtrations on the cohomology of abelian varieties by S. Abdulali Building mixed Hodge structures by D. Arapura The Atiyah-Chern character yields the semiregularity map as well as the infinitesimal Abdel-Jacobi map by R.-O. Buchweitz and H. Flenner Regulators and characteristic classes of flat bundles by J. Dupont, R. Hain, and S. Zucker Height pairings asymptotics and Bott-Chern forms by B. Harris and B. Wang Logarithmic Hodge structures and classifying spaces by K. Kato and S. Usui Chow Groups and Motives: Motives and algebraic de Rham cohomology by M. Asakura Hermitian vector bundles and characteristic classes by J. I. Burgos Gil The mixed motive of a projective variety by M. Hanamura Bloch's conjecture and the $K$-theory of projective surfaces by C. Pedrini From Jacobians to one-motives: Exposition of a conjecture of Deligne by N. Ramachandran Motives, algebraic cycles and Hodge theory by S. Saito Arithmetic methods: Picard-Fuchs uniformization: Modularity of the mirror map and mirror-moonshine by C. F. Doran Hilbert modular varieties in positive characteristic by E. Z. Goren On the Neron-Severi groups of some $K$3 surfaces by Y. Goto Torsion zero-cycles and the Abel-Jacobi map over the real numbers by J. van Hamel A remark on the Griffiths groups of certain product varieties by K. Kimura $p$-adic Abel-Jacobi maps and $p$-adic heights by J. Nekovar Crystalline fundamental groups and $p$-adic Hodge theory by A. Shiho Thompson series, and the mirror maps of pencils of $K$3 surfaces by H. Verrill and N. Yui.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.147 | 0.023 |
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".