Bibliographic record
Abstract
This essay explores how Michael Ondaatje’s thematic and formal treatment of the political violence in Anil’s Ghost can be illuminated with Walter Benjamin’s reflections on history as piles of debris. It argues that Ondaatje’s novel stands as, to adapt Benjamin’s phrase, an “allegorical way of seeing” into a war, which discloses itself through a variety of arresting images of ruins wrought by human violence on a vast scale. Teasing out the images of ruins in Ondaatje's novel -- from remnants, material debris, ruined landscape to scarred, wounded bodies, and the social ruination of the people’s lives -- enables the reader to appreciate the way in which his famously fragmentary and ambivalent narrative inscribes the long- and short-term processes of political violence that leave their traces in types of ruins. The essay also suggests that Ondaatje’s fictional endeavor extends the materialist view of ruins to mark the trace of the ruinous experiences of war, given the nuance of the ruins he summons to mind. When staging the images of ruins, Ondaatje not only turns to architectural, corporal ruins, but also redirects his melancholy gaze toward the continuing war, toward vulnerable, neglected lives, and, in particular, the unspoken bonds formed between ordinary people.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.021 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".