The Sixty-Ninth William Lowell Putnam Mathematical Competition
Notice bibliographique
Résumé
The results of the Sixty-Ninth William Lowell Putnam Mathematical Competition, held December 6, 2008, follow. They have been determined in accordance with the regulations governing the Competition. The contest is supported by the William Lowell Putnam Prize Fund for the Promotion of Scholarship, an endowment established by Mrs. Putnam in memory of her husband. The annual Competition is held under the auspices of the Mathematical Association of America. The first prize, $25,000, was awarded to the Department of Mathematics of Harvard University. The members of the winning team were Zachary R. Abel, Iurie Boreico, and Arnav Tripathy; each was awarded a prize of $1,000. The second prize, $20,000, was awarded to the Department of Mathematics of Princeton University. The members of the winning team were Peter Z. Diao, John V. Pardon, and Adrian I. Zahariuc; each was awarded a prize of $800. The third prize, $15,000, was awarded to the Department of Mathematics of the Massachusetts Institute of Technology. The members of the winning team were Qingchun Ren, Xuancheng Shao, and Yufei Zhao; each was awarded a prize of $600. The fourth prize, $10,000, was awarded to the Department of Mathematics of Stanford University. The members of the winning team were Young Hun Jung, Nathan K. Pflueger, and Jeffrey Wang; each was awarded a prize of $400. The fifth prize, $5,000, was awarded to the Department of Mathematics of the California Institute of Technology. The members of the winning team were Jason C. Bland, Zarathustra E. Brady, and Brian R. Lawrence; each was awarded a prize of $200. The five highest ranking individual contestants, the Putnam Fellows, in alphabetical order, were Brian R. Lawrence, California Institute of Technology; Seok Hyeong Lee, Stanford University; Arnav Tripathy, Harvard University; Bohua Zhan, Massachusetts Institute of Technology; and Yufei Zhao, Massachusetts Institute of Technology. Each received an award of $2,500. The next eleven highest ranking individual contestants, in alphabetical order, were Iurie Boreico, Harvard University; Adam C. Hesterberg, Princeton University; William A. Johnson, University of Washington; Cedric Lin, University of British Columbia; Anton S. Malyshev, Princeton University; John V. Pardon, Princeton University; Qingchun Ren, Massachusetts Institute of Technology; Oleg O. Rudenko, Florida Atlantic University; Colin P. Sandon, Massachusetts Institute of Technology; Jacob N. Steinhardt, Massachusetts Institute of Technology; and Alex Zhai, Harvard University. Each received an award of $1,000. The next nine highest ranking individual contestants, in alphabetical order, were Zachary R. Abel, Harvard University; Thomas D. Belulovich, Massachusetts Institute of Technology; Jason C. Bland, California Institute of Technology; Gabriel T. Bujokas, Massachusetts Institute of Technology; Konstantin Matveev, University of Toronto; Nathan K. Pflueger, Stanford University; Aaron H. Potechin, Princeton University; Dong Uk Rhee, University of Waterloo; and Adrian I. Zahariuc, Princeton University. Each received an award of $250.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».