A Writer of Double Identities: A Study on Miguel Street from the Perspective of Orientalism
Bibliographic record
Abstract
Based on Said’s orientalism theory, the paper provides an analysis of Miguel Street, the early work written by the famous British immigrant writer, annalistic writer, V.S. Naipaul, who was the Nobel Laureate in 2001. Naipaul is a writer of double identities, i.e. the first world scholar with the third world origin. When he “gazes” at orient from the stand of oriental scholars, he has “been gazed” by occidental colonists. The realistic depiction of the foolish, narrow-minded, slothfully corrupted, culturally rootless mass on Miguel Street represents the oriental images defined by western literati. However, the application of black humor technique in the work is the colonial writer’s way of self-ridicule on his own state of be politically, economically and culturally oppressed and controlled by the west. Key words: V.S. Naipaul , Miguel Street, orientalism, realism , black humor Resume: point de vue orientalisteBase sur la theorie orientaliste , Ce texte analyse une des premieres oeuvres “La Rue de Michelle”de Naipaul , qui , illustre ecrivain immigre et chroniqueur , a gagnee le prix Nobel de litterature en 2001 . Ayant la double identite d’un chercheur du tiers monde dans le domaine culturel du premier monde , Naipaul “ regarde ” l’orient en tant que chercheur orientaliste , et en meme temps , il est “regarde ” par les colonisateurs occidentaux Mots-cles: Naipaul , “La Rue de Michelle”, orientalisme , realisme , humour noir 摘要：本文從賽義德關於東方主義理論出發，對 2001年諾貝爾文學獎得主 ,英國著名移民作家 ,編年史作家 V.S.Naipaul 的早期作品《米格爾街》作了分析。認為作家奈保爾作為第一世界文化領域的第三世界學者因其雙重身份，站在東方主義學者的立場上“看”東方的同時，也是西方殖民者“被看”的物件。其關於米格爾大街芸芸眾生相愚昧，狹隘，懶散，墮落，文化無根性的近乎現實主義的刻畫代表了西方知識份子對東方形象的界定和定義；另一方面其對於作品中黑色幽默手法的運用也是作為殖民地作家對於西方政治，經濟，文化控制，顛覆並向殖民地滲透現狀無能為力的自我解嘲的一種方式。通過分析其第一人稱敍述手法揭示出其全文的基調，並折射出作者奈保爾作為“夾縫人”在對殖民地人民的問題上所抱有的愛恨交織的態度，即面對處境悲慘群體生髮出憐憫之情的同時，對於其道德淪喪，生活無望又表現出作為現代文明人的優越感。 關鍵詞：奈保爾；米格爾街；東方主義；現實主義；黑色幽默
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How this classification was reachedexpand
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.015 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".