Tracing the Absent-Present of Hiroshima and Nagasaki in America as Sensuous Encounter: Notes on (Nuclear) Ruins
Bibliographic record
Abstract
This article considers the politics of ruin in sites of atomic and nuclear heritage in the United States. I argue that nuclear ruin is better understood as a force existing in and across bodies instead of as a material by-product of the nuclear era. Understood in this way, ruin operates simultaneously as both a trace of violence and, perhaps more importantly, of hope. I show this through an examination of the ways in which Hiroshima and Nagasaki fade in and out of the commemorative politics of the atomic era in America. Caught between presence and absence, Hiroshima and Nagasaki appear and disappear in the most unlikely places. Forcibly absented from museums and other places of official memory, Hiroshima and Nagasaki erupt effectively and corporeally on the interstices of and in tension with the national war narrative of the A-bomb in the United States.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.027 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| 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".