Bibliographic record
Abstract
This paper examines the urban space as an ecology of anxiety in post-9/11 literature. After the atomic bomb drop on Hiroshima in August 1945, survivors testified of experiencing prior to the bombing an anticipatory trauma known as bukimirooted in the belief that a catastrophic event was forthcoming. Paul K. Saint-Amour suggests that similar experiences to bukimi are not exclusive to the residents of Hiroshima but came to structure post-war urban experience as a result of a nuclear condition wrought by the Cold War. My paper explores whether a contemporary bukimi can be identified in post-9/11 literature. The post-9/11 novel—works which directly or indirectly acknowledge the terrorist attacks—present familiar but ambiguous forms of risk engendered by the threat of terrorism and maintained in the form of an urban-originated anxiety. This anxiety is rooted in the spectre of an event that’s never total or conclusive—an event that promises witness testimony and the maintenance of traumatic memories, but which also eclipses calamitous structures (like global warming) that are gradual and continuous. To unravel this contemporary species of bukimi, my paper examines depictions of the urban space in the post-9/11 literature of Foer and McEwan.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".