Notice bibliographique
Résumé
In my view, there is no comparative studies of Lee Sang, a Korean novelist and Saul Bellow, an American novelist in Korea. That`s because it`s not easy to find something in common between two writers. Lee Sang was born in 1910 and Saul Bellow was born in 1915. They lived their own lives and they didn`t know each other. But my special interest is Saul Bellow and Lee Sang has many common characteristics. The aim of this paper is to provide an overview of the same characteristics between Lee Sang and Saul Bellow. In exploring the question of same characters, this paper limited to consideration of Nalgae and Dangling Man. Lee Sang bears a curious likeness to Saul Bellow. Bellow and Lee Sang are externally and internally analogous to each other. Their similarities are divided into biological similarities and the similarities in plot. In biological aspect, they altogether lived very hard times in early lives and were financially embarrassed afterwards. They both were influenced by Fyodor M. Dostoevsky. It was the one main cause of their similarities. Their marriage lives were not happy and they had no good relationship with their wives. This was the result of the fact that they grew up without `desirable father image.` In Dangling Man and Nalgae, these stories are told by the first person narrator `Joseph` and `Na(=I).` There are no specific plots or accidents in these two stories. The main characters are doing nothing and just killing times. They couldn`t put away their childish acts like playing with matches and shoe polishing. Joseph and Na cannot make any change in their lives. These facts are the result of their isolation from the family and society. They both have identity problems, too. Joseph was a Canadian who wants to join the American Army. Lee Sang was a Korean who lived under the Japanese imperialism. They both are intellectuals and very speculative persons. They all suffer from environments. They also are men of no abilities in the matter of money. Above all their endings are very similar. The main characters admit their own lots and satisfied with their present situations.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,007 |
| Communication savante | 0,006 | 0,009 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,002 |
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 source (Gemma direct ou Codex distillé), 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 ».