Analysis of Hemingway’s Work in the Light of Binary Oppositions: a Case Study of A Clean, Well-lighted Place
Bibliographic record
Abstract
Since the development of deco structuralism, it seems that structuralism has narrowed its scope in literary criticism. Because of this, the binary oppositions of Hemingway’s short story A Clean, Well-lighted Place are studied as a case to illustrate the applicability of the methods of structuralism, and the theme of the short story is fully presented. Key Words: structuralism, binary opposition, Hemingway Resume Depuis le developpement du destructuralisme, il semble que le camp du structuralisme reduit. A cet effet, l’auteur, prenant Une place propre et claire d’Hemingway pour le cas, s’efforce d’analyser les elements opposants de cet ouvrage et devoiler son theme, tout cela permet de prouver la faisibilite de cette methode dans l’analyse de certains textes. Mots cles: le structuralisme, l’opposition binaire, Hemingway 摘 要 解構主義興起以來，結構主義的陣營似乎在逐漸縮小。為此，筆者以海明威的《一個乾淨、明亮的地方》為個案，試圖以結構主義的方法來分析該作品的對立因素，揭示了文本的主題，並以此證明了此種方法對分析有些文本的可行性。 關鍵詞：結構主義；二元對立；海明威
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".