Intertextual Inscription of Diasporic Identity in Ondaatje's The English Patient
Bibliographic record
Abstract
hrough Julia Kristiva's intertextuality, this study explores the diasporic version of identity in Michael Ondaatje's The English Patient - the text that is based on Ondaatje's inspiration from other literary and non-literary texts: Rudyard Kipling's Kim, Herodotus' The History, James Fenimore Cooper's The Last of the Mohicans and the story of Gyges and the Queen. This theoretical inscription locates the source of the expression of the meaning of the text: either the author or the text per se. It argues the intertextual narration of Ondaatje, a Sri Lankan living in Canada, about the fragmented identities of the diasporas in the post-World War II milieu. This intertextual approach highlights the politics working behind the location of the characters, their (dis)placement from/to their origin and their identity in the post-WWII time. The framing of these intertextual discourses helps understand the contexts of diaspora characters as well as diaspora writers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.020 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".