Notice bibliographique
Résumé
Zhu Ziqing was a Chinese academic who developed a reputation first as a poet and later as an essayist in the 1920's and 1930's. His works are still read widely in China and are considered important enough to be included in the curriculum of secondary schools and universities in the People's Republic of China, Hong Kong and Taiwan. Despite his enduring reputation among his countrymen, he is little known abroad and Western scholarly works on modern Chinese literature scarcely mention him. This thesis examines Zhu Ziqing's prose, since it is his essays which are the basis of his reputation. His short stories are examined first, as the precursors to his essays, with which they have much in common. The essays are presented in categories according to their subject matter, and representative works from each category are examined in detail. It becomes clear that the most noticeable characteristic of Zhu Ziqing's writings is their autobiographical nature. He is at his best when writing about things with which he is intimately acquainted, and his attempts to grapple with wider social issues tend to be inconclusive. Zhu Ziqing is known principally as a lyric essayist, a "painter of pictures with words." The scenes which he describes are often marked by his presence, linked by the autobiographical thread which runs through all his work. Concerned as they are with painting delightful scenes rather than making any profound statements, lyric essays are not calculated to offend anyone's ideological sensibilities. This, combined with the inconclusive nature of Zhu Ziqing's attempts at weightier social pronouncements, accounts for the availability of his works on both sides of the Taiwan Strait. One may concede that Zhu Ziqing is but a minor planet in the Chinese literary firmament. Nevertheless, his short stories and essays are Interesting as examples of prose which was highly regarded by the author's contemporaries in the early days of modern Chinese vernacular literature.
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».