Memory, Trauma, and the Maternal: Post-Apocalyptic View of the Chernobyl/Chornobyl/Charnobyl Nuclear Disaster
Bibliographic record
Abstract
Chornobyl/Chernobyl/Charnobyl has a symbolic meaning for several generations of east Europeans. It is a city that experienced a disastrous nuclear explosion in 1986 that bequeathed a post-apocalyptic landscape and an eloquent demonstration of the Anthropocene. The epistemological crisis for humanity provoked by the Chornobyl nuclear disaster led to the emergence of post-Chornobyl art, an art of acceptance and denial, an art of physical and emotional trauma, an art that symbolized humanity’s responsibility for the future. This paper focuses on art works produced in the first two decades after the explosion at the Chornobyl nuclear plant. The range of art pieces examined in this paper is diverse, from representational art to conceptual installations. The article is an attempt to analyze the trend of post-Chornobyl art created by witnesses of the tragedy. They are Belarusian and Ukrainian artists for whom Chornobyl epitomizes the point of non-return, the overwhelming tragedy of their people, and the devastation of their land; and for whom Chornobyl is an inverted metaphor of the legitimacy of peaceful atom and the results of the Anthropocene. The paper employs Griselda Pollock’s theoretical approach to trauma and focuses on the art of the maternal created by artists of both genders
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.044 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".