Encountering the More-Than-Human: Narration, Abjection and Pardon in Three Day Road
Bibliographic record
Abstract
Joseph Boyden’s Three Day Road takes place during World War I at the ambiguous boundary between culture and nature, madness and civilization, human and the more-than-human other. I argue that both the story and structure of Three Day Road illustrate and support the crucial link that Julia Kristeva makes between tradition and form-giving in respect of trauma and ethics. Kristeva’s thought helps to illuminate what cathartic narration must address in order to bring repressed otherness out of its confinement in nature. Specifically, this paper draws upon Richard Kearney’s definition of working-through and Kristeva’s psychoanalytic process in an analysis of abjection, the return of the repressed, and a pardon asked for that initiates a reconciliation between ourselves, culture, language and the social.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.039 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 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".