Bibliographic record
Abstract
This essay proposes an interpretation of Don DeLillo's Falling Man based on a combination of textual analysis and contemporary theoretical approaches to the specific questions of trauma, grief, and posttraumatic healing as well as the more general question of the status of the subject in a postmodern context marked by increasing globalization and transnational interactions. This multidimensional interpretive approach makes it possible to theorize one of the central metanarrative questions posed by DeLillo's novel: the potential function of the postmodern novel as an antidote against various expressions of contemporary angst, such as the dread of terrorist violence or the fear of aging and age-related maladies. In exploring the significance of a double esthetic articulation in DeLillo's novel (an esthetic of estrangement and an "esthetic of disappearance"), the essay analyzes the author's representation of his characters' varying reactions to terror-related trauma and the role of the imagination in such reactions. While Falling Man represents subjective experiences of trauma and loss in painful and at times shocking ways, its dissection of the imaginary dimension of trauma also presents its readers with the possibility of incorporating various effects of traumatic experience into cohesive and constructive strategies of self-reassessment, grief management, and healing.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.032 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.006 | 0.009 |
| 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".