Cycles on the moduli space of hyperelliptic curves
Bibliographic record
Abstract
2L'auteur a accord une licence non exclusive permettant la Bibliothque nationale du Canada de reproduire, prter, distribuer ou vendre des copies de cette thse sous la forme de microfiche/film, de reproduction sur papier ou sur format lectronique.L'auteur conserve la proprit du droit d'auteur qui protge cette thse.Ni la thse ni des extraits substantiels de celle-ci ne doivent tre imprims ou aturement reproduits sans son autorisation.First of aH, 1 would like to thank my supervisor Eyal Goren for aH the help gave me.Despite his very busy schedule and his family obligations, he spent very many ho urs coaching me, explaining new theory, guiding my writing, pushing me to greater heights and helping my English.1 would also like to thank aIl the professors who taught me during my graduated studies. 1 have gained a lot from the courses they gave me, they greatly stimulated my interest for mathematics.1 also want to thank the Department of Mathematics and Statistics of McGill University, FCAR, and ISM for their financial support.1 hereby express my infinite gratitude to my family, that is, all my friends and relatives, for their constant love and support.Finally, 1 would like to give a
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Mathematics dissertation on cycles on the moduli space of hyperelliptic curves; the abstract field contains only front-matter acknowledgments, but the title is unambiguously pure mathematics.
The dissertation concerns algebraic geometry and moduli spaces, not research practice.
Pure mathematics on cycles on moduli spaces of curves; not about research practice.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".