Fighting the Fear: Everyday Terror in the American Short Story Collection after 9/11 A Study of Jennifer Egan’s A Visit from the Goon Squad and Elizabeth Strout’s Olive Kitteridge
Bibliographic record
Abstract
Jennifer Egan’s A Visit from the Goon Squad and Elizabeth Strout’s Olive Kitteridge represent the emphatic force that can be created within a short story collection and each contain at their core what has become a fundamental aspect of American literature since September 2001: terror. In A Visit from the Goon Squad and Olive Kitteridge, characters feel and attempt to cope with terror in their everyday lives. Both Egan and Strout contextualize individual terror against the broader national and cultural form felt by the United States after the events of 9/11. The presence of the void left by the Twin Towers is a potent symbol of terror within each collection, paralleling the characters’ experiences with that of post-9/11 America while highlighting the existence of everyday terror and providing a lens for character self-reflection. This essay focusses on two categories of terror that figure into both collections, terror of the unknown and terror of being alone, and how strategies employed by Egan’s and Strout’s characters to cope with this terror correspond to the American public response to the wider terror instilled by 9/11.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.041 | 0.026 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".