Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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 it