Juxtaposition, Re-Inscription and Selective Inattention: Michael Ondaatje’s Representation of History in The English Patient
Bibliographic record
Abstract
亚裔加拿大作家迈克尔•翁达杰的《英国病人》讲述了二战时期四位普通参战人员的个人历史，以及各自如何走出传统历史误区的故事。翁达杰在创作中充分利用了叙述视角转换、历史穿插和并置、历史改写等形式解构了传统历史，并建构了作者想象中的真实历史。笔者从新历史主义视角出发，以历史并置、历史改写、历史选择性漠视为线索分析翁达杰在《英国病人》中呈现的历史面貌。 The English Patient, a novel written by Sri Lankan Canadian novelist Michael Ondaatje, relates the private histories of four marginalized characters involved in the WWII, and presents their confrontation with and challenge of the fallacy of conventional history. In this novel, Ondaatje employs multiple viewpoints, intersection and juxtaposition of historical episodes, historical re-in- scription, which serve to deconstruct the conventional history and construct the imagined history of Ondaatje. From the perspective of New Historicism, this paper examines Ondaatje’s viewpoint on history as revealed in The English Patient in the following three aspects: historical juxtaposition, historical re-inscription, selective inattention to conventional history.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.035 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".