War gothic of the western front: Decay, landscape, and identity in WWI fiction
Bibliographic record
Abstract
The First World War was a unique and unrepeatable Gothic event, and so, this thesis examines its modern and postmodern literary accounts within the War Gothic framework. Analysing Erich Maria Remarque’s All Quiet on the Western Front, Gabriel Chevallier’s Fear, Sebastian Barry’s A Long Long Way, and Joseph Boyden’s Three Day Road, it looks at the relationships of transformative states; specifically, the decomposition and destruction of the body, the landscape, identity, and masculinity along the trenches of the Western Front. Moreover, this thesis explores how the Gothic nature of WWI affects identity politics in the four novels according to personal, cultural, and national authorial subject positions. The War Gothic unites the German and French narratives with the previously unrepresented, and now re-imagined, Irish Catholic and Indigenous Canadian war experiences for the Gothic communicates the ineffable complexities of human nature and of war.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.028 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".