"Fishing the Swamp": Trauma and Narrative in Hemingway's "Big Two-Hearted River'
Bibliographic record
Abstract
Most understandings of Hemingway’s “Big Two-Hearted River” set up a dichotomy between two kinds of space: civilization and the wilderness. In these readings, the wilderness presents an opportunity for healing by immersion in concrete physical action. As Karl Fritze rightly points out, though, the story’s structure is actually more complicated than that. It also has a third space: the “surrogate domestic space” of the campsite, the place where Nick, the protagonist, acts on his environment. The campsite is not a place where things resolve themselves; rather, it is a place of “desperate self-reassurance, an assertion of normalcy rather than simply a natural contentment.” And, the campsite gets readers only halfway through the story’s narrative movement, a movement “from pure ease into a mediating domestic fantasy and then finally into unfiltered natural chaos.” That chaos is the swamp, another interpretive conundrum for readers. In Fritze’s surprising and convincing reading, the swamp offers the possibility for Nick to plunge back into the mediation of trauma, into “the social world of storytelling .” —Dr. Leonard Diepeveen
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.032 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.005 |
| 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".